HR Administrator
The Department of Surgical Sciences (IKV) is part of the Faculty of Medicine and Pharmacy. We conduct both research and education at undergraduate, advanced, and doctoral levels. Research is carried out by approximately 20 research groups organized around different surgical specialties and related subjects, and education takes place within, among others, medical, nursing, and specialist nursing programs. IKV has approximately 140 employees, over 200 registered doctoral students, and roughly 900 people connected to the department in various ways. Many of our employees also have joint positions between the university and the hospital. The administrative support function at IKV currently consists of 16 staff members working in areas such as HR, finance, course administration, communication, and doctoral education. Their shared task is to support the department, its leadership, employees, and students. The HR function's task is to support the department's director, leadership, and employees in all HR-related work in the organization. We are currently two people working with operational HR support, and we are now seeking to strengthen the team with an HR Administrator! As an HR Administrator, you will be an important addition to the HR function and the administrative support team as a whole. We welcome your application and hope you will become our colleague! Main Responsibilities As an HR Administrator, you will collaborate with the department's HR Coordinator and HR Generalist to provide comprehensive support to the department's leadership and employees. You will primarily work with various types of HR administrative tasks, such as recruitment, extension of doctoral and postdoctoral positions, employment contracts, record keeping, and other HR-related work. You will also work with calculations of service time, registrations in the university's catalog system, and handling of terminations of employment, including notice periods, certificates, and notifications. As part of our HR function, you will also work with occupational health and safety and equal opportunities matters. As an HR Administrator, you are expected to stay updated on laws, regulations, ordinances, and collective agreements within the HR field. You will also participate in developing and improving our HR routines and processes together with your HR colleagues. As an HR Administrator, you will be in close contact with the department's employees and other staff members, which makes the work varied and stimulating. It is therefore important that you thrive in a social and communicative role. IKV is a clinical department, which means we work closely with Academic Hospital. You will therefore meet many different people and professional groups and work in a varied and exciting environment where the university and hospital meet. The HR Administrator role is new at the department, and the work tasks may therefore be adapted within the framework of the HR function's work and responsibilities. Qualifications Required We are looking for someone who has: Post-secondary education in an area relevant to the position Recent relevant work experience with HR administrative tasks Basic knowledge of labor law Very good skills in the Office package Very good skills in Swedish and English, both spoken and written Great emphasis will be placed on personal suitability. We are looking for someone who can plan your work well, who is thorough, and who has a good ability to maintain structure in parallel processes. You can work independently and enjoy driving your work forward. To succeed in the role, you need to have good social and communication skills and be service-oriented. Furthermore, you have a flexible approach, are responsible, self-driven, unpretentious, and care about contributing to a good working environment. You also enjoy collaboration and are someone who is stimulated by developments and improvements that add value to the organization. Desirable/Meriting Qualifications Experience of similar work within public administration is meriting, as well as experience with Uppsala University's HR administrative systems (such as Primula, Varbi, and AKKA). A university or college degree in personnel and working life is meriting. About the Position The employment is time-limited until 2027-06-30. Start date 2026-11-01 or by agreement. Full-time position. Work location: Uppsala Information about the position is provided by: Acting HR Coordinator Louise Walther, [email protected] or Administrative Manager Robert Malmgren, [email protected]. In this recruitment, we have replaced the personal letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application no later than August 24, UFV-PA 2026/2297. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. Security vetting is a requirement for employment, and applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Postdoctoral Researcher in Physical Geography with Focus on the Future of the Greenland Ice Sheet
Postdoctoral Researcher in Physical Geography with Focus on the Future of the Greenland Ice Sheet Would you like to work studying mass changes of Greenland's ice sheet, supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee relationships and offers secure, attractive working conditions? We welcome you to apply for a postdoctoral position at Uppsala University. The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in geoscience. Here you will find broad expertise that contributes to solutions for important societal challenges. Earth is a dynamic planet that is constantly changing. To understand how our planet works, our researchers seek answers in the field, through laboratory experiments, and advanced models. Our research and education cover a wide range of areas: rocks and minerals, weather and climate, the evolution of life, natural disasters, wind energy and energy, environmental and water engineering, and sustainable development. Our research combines natural sciences and engineering with social sciences and is often interdisciplinary. The department employs over 300 people from more than 30 countries, both in Uppsala and at Campus Gotland. Our six research divisions: Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information, see: https://www.uu.se/institution/geovetenskaper The advertised position is within the research program Air, Water and Landscape Science (LUVAL), which brings together research and education in hydrology, meteorology, environmental analysis, and physical geography. Research in physical geography has a main focus on cold environments, with a primary emphasis on glaciological topics, but also other aspects of the cryosphere. Duties The postdoctoral researcher will work on a project funded by the Swedish Space Agency, with the primary aims of creating a new mapping of bedrock topography and ice thickness for the Greenland ice sheet, and simulating the ice sheet's development through 2300. To achieve this, a new inverse modeling-based method will be used that reconstructs the bedrock topography beneath the ice, while also providing a starting point for predictive modeling. Following recent applications on plateaus and valley glaciers in the Arctic and subarctic (see, for example, Frank and Van Pelt, 2024; Van Pelt and Frank, 2025), and an application to all valley glaciers on Earth (Frank et al. 2026), the method will be optimized in this project for use on the Greenland ice sheet, while utilizing the latest high-resolution satellite data products. Ice flow modeling will be conducted using the Parallel Ice Sheet Model (PISM), though machine learning alternatives such as the Instructed Glacier Model (IGM) will also be considered. The project will involve close collaboration with a doctoral student in the same research group at Uppsala University as well as collaboration with international colleagues at Oslo University, Mid Sweden University, the Danish Meteorological Institute, University of Liège, University of Fairbanks, and University of Lausanne. The position includes 20% teaching at the Department of Earth Sciences, Uppsala University, in earth science (physical geography/hydrology) at undergraduate and advanced levels. Qualifications A doctoral degree in glaciology, earth science, computer science, physics, or similar, or a foreign degree deemed equivalent to a Swedish doctoral degree in the mentioned subject. The degree must be completed by the time the employment decision is made. Preference should be given to candidates who completed their degree no more than three years ago. In calculating the three-year period, the final application deadline is the starting point. If there are special reasons, such a degree may have been completed earlier. Special reasons include leave due to illness, parental leave, positions of trust within labor organizations, etc. Previous experience with numerical modeling and analysis of the cryosphere, preferably glaciers, is a requirement. The candidate must be able to communicate in spoken and written English at an advanced level, work independently, and work in an international team of researchers with different disciplinary backgrounds. Desirable/Meriting Qualifications Programming skills in Python or similar are valued. Additionally, experience with machine learning and spatial analysis software (e.g., ArcGIS) is meriting. About the Employment The employment is time-limited for 2 years in accordance with central collective agreements. The position is full-time. Start date: November 15, 2026, or by agreement. Work location: Uppsala For information about the position, contact: Ward van Pelt, [email protected] Welcome to apply by September 4, 2026, UFV-PA 2026/2399. Uppsala University is a broad research university with strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Learn more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security clearance. Security clearance is a prerequisite for employment; applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Candidate in Core Optimization with Machine Learning
Do you want to work with machine learning, optimization, and reactor physics, supported by competent and friendly colleagues in an international environment? Do you want to contribute to the development of advanced computational methods for future nuclear power systems? Do you want an employer that invests in sustainable employee relations and offers secure, favorable working conditions? We welcome your application for a PhD position at Uppsala University. As a PhD candidate, you will be part of a research group working on reactor physics, fuel cycle analysis, and computational methods for core and fuel optimization. The group combines physics-based computational models with modern optimization and data analysis methods. The work environment is international and multidisciplinary, with close links between fundamental method development and technically relevant applications. The project is a continuation of an ongoing PhD project on core and fuel optimization for small modular reactors (SMR) within the competence center ANItA (Academic-industrial Nuclear technology Initiative to Achieve a sustainable energy future). The competence center brings together academia and industry to strengthen Swedish nuclear technology expertise and contribute to a sustainable energy transition. The previous PhD project has developed methods for optimizing equilibrium cycles, where the goal is to find recurring fuel management strategies that provide good fuel economy while meeting reactor physics safety margins. Special focus has been on combining advanced optimization algorithms with machine learning-based surrogate models, including graph-based representations of core loading patterns. You will further develop this research direction. The project may include cycle-to-cycle optimization, development of new machine learning models, improved optimization strategies, uncertainty quantification, more efficient handling of physical constraints, and expanded analysis of fuel design, loading patterns, and safety-related quantities. The goal is to develop methods that enable faster and more reliable exploration of large design spaces in core and fuel optimization. Duties The duties consist mainly of doctoral studies, where you conduct research within the project and complete courses as part of your doctoral education. The work involves developing, implementing, and evaluating computational methods for core and fuel optimization using machine learning and optimization algorithms. Your duties include: - Develop and apply machine learning-based surrogate models for reactor physics calculations, - Develop and evaluate optimization methods for fuel loading patterns and fuel composition, - Analyze safety-related parameters such as reactivity, power distributions, fuel utilization, and margins to technical limits, - Work with large datasets from reactor physics simulations, - Implement and document computational tools, for example in Python, - Compile and publish research results in scientific articles, - Present results at national and international conferences, - Participate in research group seminars, project meetings, and other scientific activities. Teaching and other institutional service may be included with a maximum of 20 percent of full-time work. Qualifications To be eligible for doctoral studies, you must have: - Completed an advanced degree in engineering physics, nuclear engineering, energy engineering, machine learning, computer science, applied mathematics, or another field relevant to the project, or - Completed at least 240 credits, of which at least 60 credits at advanced level including an independent thesis of at least 15 credits, or - Acquired equivalent knowledge in another way. For the position, the following is also required: - Strong knowledge in physics, numerical methods, and/or machine learning, - Good programming skills, for example in Python, Julia, C++, or equivalent, - Ability to work independently and in a structured manner, - Good ability to collaborate, - Good ability to express yourself orally and in writing in English. Great weight will be placed on personal qualities such as analytical ability, initiative, accuracy, and motivation to conduct research within a multidisciplinary field. Desirable/Merits It is meritorious to have experience in one or more of the following areas: - Reactor physics, nuclear engineering, or neutron transport, - Core optimization, fuel cycle analysis, or fuel management, - Machine learning, especially neural networks, graph neural networks, or surrogate modeling, - Optimization algorithms, such as evolutionary algorithms, stochastic optimization, or multi-objective optimization, - Uncertainty quantification or statistical modeling, - Work with scientific computing software and high-performance computing, - Experience with version control and reproducible computing workflows. Regulations for PhD candidates are found in the Higher Education Ordinance Chapter 5 §§ 1-7 and in the university's rules and guidelines. About the Application Please attach transcripts, a copy of your thesis, and any other documents you wish to submit. About the Position The position is time-limited, according to the Higher Education Ordinance Chapter 5 § 7. Full-time. Start date: January 1, 2027, or by agreement. Location: Uppsala. Information about the position is provided by: Andreas Solders, 018-471 26 31, [email protected] In this recruitment, we have replaced the personal letter with questions that you answer as part of your application. Your answers will be used as part of the selection process. Welcome to submit your application no later than September 30, 2026, UFV-PA 2026/2129 Note that this is an abbreviated version of the announcement. To see the full announcement, please click on "Apply here" or visit Uppsala University's job announcement website.
Postdoctoral Researcher in Multi-Omics and Machine Learning
Would you like to work in one of the world's fastest-growing technology areas, supported by competent and friendly colleagues in an international environment? Would you like an employer that invests in sustainable employment practices and offers secure, favorable working conditions? Welcome to apply for a postdoctoral position at Uppsala University. The Department of Medical Sciences is a large clinical institution with approximately 250 employees and over 900 people affiliated through Akademiska Hospital. The department has a broad research profile with strong research groups in numerous areas. Learn more about the department's activities at www.medsci.uu.se. We are now seeking a driven researcher at the postdoctoral level for the Molecular Precision Medicine research group at the Department of Medical Sciences, which is active at the Biomedical Center (BMC). The research group studies various diseases using large-scale genetic methods https://www.uu.se/en/department/medical-sciences/research/research-groups/molecular-precision-medicine. Through close collaboration with clinical researchers at Akademiska Hospital in Uppsala, our research group has access to unique sample collections and clinical patient information. Close collaboration with the national genomics infrastructure (National Genomics Infrastructure, NGI) at Science for Life Laboratory (SciLifeLab) provides the research group with access to next-generation sequencing technology: https://ngisweden.scilifelab.se/. The current project focuses on analyzing blood samples from children with leukemia, healthy controls, and in vitro cell models using various omics technologies. The overall goal is to take the step toward precision medicine in childhood leukemia. We aim to identify circulating biomarkers that can distinguish high-risk patients from low-risk patients. With this strategy, we want to be able to shorten chemotherapy treatment for low-risk patients while targeting treatment more specifically to the high-risk group. We will also conduct drug screens for targeted therapies, testing promising new drugs that are in preclinical and early clinical trials. Financed by the transnational European Partnership for Personalised Medicine (EP PerMed), this project is a close collaboration with leading research groups in pediatric hematology at the University of Freiburg and Technical University of Munich in Germany and the University of Tampere in Finland. As a postdoctoral researcher on this project, you will have a key role in integrating and analyzing multi-omics data within the consortium to deepen understanding of childhood leukemia at the molecular level and contribute to the development of new treatment strategies. You will be part of Uppsala University's Molecular Precision Medicine research group, where research focuses on both the development of new genomics techniques and their application to clinically relevant questions in pediatric oncology. Duties Analyze multi-omics data from pediatric leukemia samples and in vitro models, including genomics (WGS), transcriptomics (bulk and scRNA-seq), epigenomics (methylation arrays), and proteomics (Olink Explore PEA, Illumina SomaSeq) data. Develop and apply machine learning models to identify disease subtypes and predict treatment response. Collaborate with pediatric oncologists, bioinformaticians, and computational biologists, both within the research group and with our international collaborators. Write scientific articles and present project results at scientific meetings and conferences. Qualifications PhD in bioinformatics, computational biology, molecular biology, or a related field, or a foreign degree assessed as equivalent to a PhD in one of these areas. The degree must be completed by the time of the employment decision. Preferably, the degree should have been completed no more than three years ago. When calculating the three-year period, the deadline for applications is the starting point. If there are special circumstances, such a degree may have been completed earlier. Special circumstances include leave due to illness, parental leave, positions of trust within labor organizations, etc. Experience with large-scale data analysis and programming in relevant languages such as Python and R. Experience handling large datasets in a LINUX/UNIX environment. Experience with large-scale DNA or RNA sequencing. Experience analyzing proteomics data, including data from affinity-based proteomics analyses and/or mass spectrometry. Excellent communication and collaboration skills. Good oral and written proficiency in English. Desirable/Meriting Additional Qualifications Experience integrating multi-omics data. Competence in machine learning for biomedical applications. About the Position The employment is time-limited for two years according to central collective agreement, with possible extension for up to an additional year. Full-time/100%. Start date October 1 or by agreement. Location: Uppsala. Information about the position is provided by: Jessica Nordlund ([email protected]) Welcome to submit your application by September 9, 2026, UFV-PA 2026/2468. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our greatest asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Learn more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security vetting. Security vetting is a requirement for employment; applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Candidate in Hydrology - Flow and Transport in Fractured Rock
PhD Candidate in Hydrology with focus on flow and transport in fractured rock Would you like to work on groundbreaking research in hydrogeology, supported by competent and friendly colleagues in an international environment? Would you like an employer that invests in sustainable employee engagement and offers secure and attractive working conditions? Welcome to apply for a position as a PhD candidate at Uppsala University. The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in earth sciences. Here you will find broad expertise that contributes to solutions for important societal challenges. Earth is a dynamic planet that is constantly changing. To understand how our planet works, our researchers seek answers in the field, through laboratory experiments, and advanced models. Our research and education cover a wide range of areas; rocks and minerals, weather and climate, the evolution of life, natural disasters, wind power and energy, environmental and water engineering, and sustainable development. Our research combines natural sciences and engineering with social sciences and is often interdisciplinary. At the department, over 300 people from more than 30 countries work, both in Uppsala and at Campus Gotland. Our six research divisions: • Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information see: www.uu.se/geovetenskaper The successful candidate will be part of the research program Air, Water and Landscape Science (LUVAL) (https://www.uu.se/en/department/earth-sciences/research/air-water-and-landscape-science). Duties The doctoral project will focus on uncertainty quantification in modeling flow and transport of dissolved substances in fractured rock. The work will include numerical modeling of flow and transport, analysis of uncertainties in model predictions, and development of effective methods to assess their significance for the safety of geological repositories. The methods will be demonstrated under conditions representative of a Swedish repository site, with the goal of improving the robustness and transparency of long-term safety analyses for disposal of radioactive waste. Qualification Requirements Eligible for education at the research level is the person who has a master's degree (second cycle) in hydrogeology, hydrology, rock mechanics, geophysics, geotechnics, water engineering, applied mathematics, physics, computer science, or another relevant field, has completed at least 240 higher education credits, of which at least 60 higher education credits at advanced level including an independent work of at least 15 higher education credits, or in some other way has acquired essentially equivalent knowledge. In addition to the above eligibility requirements, you must have a solid foundation in mathematics and physics as well as experience in numerical modeling or scientific programming. Desirable/Meriting Qualifications Knowledge of flow and transport in soil and rock, fractured media, uncertainty quantification, statistical methods, or machine learning is meriting. Regulations for doctoral candidates are found in the Higher Education Ordinance 5 chapter §§ 1-7 and in the university's rules and guidelines. About the Position The position is temporary according to the Higher Education Ordinance 5 chapter 7 §. The position is 100%. Start date February 1, 2027 or by agreement. Place of work: Uppsala. Information about the position is provided by: Qinghua Lei ([email protected]) The application should contain a CV, copies of relevant degrees and transcripts, master's thesis, and other relevant documents, including contact information for two references. In this recruitment, we have replaced the personal letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application no later than October 1, 2026, UFV-PA 2026/2478. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who with curiosity and commitment make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. During security vetting, it is a prerequisite for employment that the applicant is approved. We decline offers for recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Researcher
Do you want to work with research, supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee relationships and offers secure, favorable working conditions? Welcome to apply for a position as a researcher in the speech-language pathology research group at the Department of Public Health and Caring Sciences (IFV), Uppsala University. IFV is part of the Faculty of Medicine and conducts extensive research through our 11 research groups, including in the subject areas of public health science, nursing science, speech-language pathology, and bioethics. The department also conducts education in the medical program, nursing programs, speech-language pathology program, master's program in public health, and through a number of independent courses. We have a total of approximately 370 employees, including our associated researchers and doctoral students. Read more at: https://www.uu.se/institution/folkhalso-och-vardvetenskap The advertised researcher position is located in the speech-language pathology research group at IFV, where several project groups conduct research in various speech-language pathology areas. Many projects are conducted in interdisciplinary collaboration with other researchers at the university and in cooperation with Uppsala Academic Hospital or other actors in health and medical care. Duties The main tasks are analysis and compilation of data collected in projects concerning linguistic functions, communication, and memory functions in people with cochlear implants. Collaboration with other researchers in the research group and participation in research group meetings is expected. Qualification Requirements We are looking for a licensed speech-language pathologist who has completed a doctoral degree. Good knowledge of speech and language assessment of children, adolescents, and adults is required. Clinical experience in the same area is also a requirement. Experience with research and speech-language pathology work in hearing care is meritorious. The applicant must have very good ability to express themselves well in speech and writing in both Swedish and English. Other important personal qualities are good collaboration and communication skills as well as flexibility. Desirable/Meritorious Otherwise Experience working with the statistical tool R is also meritorious. About the Position The employment is time-limited, 12 months. The position is 50%. Start date September 1, 2026 or by agreement. Location: Uppsala University Information about the position is provided by: Ellika Schalling, 073-469 7217, or email: [email protected] In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application by August 28, 2026, UFV-PA 2026/2440. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security clearance. Security clearance is a prerequisite for employment that the applicant must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Student in Nature-Inspired Biochar-Enzyme Composites for PFAS Remediation
PhD Student in Nature-Inspired Biochar-Enzyme Composites for PFAS Remediation The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in geosciences. Here you will find broad expertise that contributes to solutions for important societal challenges. Our research combines natural sciences and engineering with social sciences and is often interdisciplinary. At the department, over 300 people from more than 30 countries work, both in Uppsala and at Campus Gotland. Our six research divisions: • Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information see: www.uu.se/geovetenskaper Project Description: The project, EnzCarb4PFAS, focuses on developing lignin-based biochar materials with high PFAS sorption capacity and immobilizing enzymes on their surfaces to enable simultaneous adsorption and catalytic defluorination. Lignin, a renewable by-product from the pulp and paper industry, is converted into highly porous biochar that concentrates PFAS from contaminated water. Enzyme immobilization on the biochar surface extends enzyme lifespan, improves substrate accessibility, and creates a synergistic system where adsorption brings PFAS into close contact with the enzyme's active sites. The research proceeds through three coordinated work packages: (WP1) screening of extracellular enzymes for PFAS transformation using real contaminated groundwater; (WP2) development and validation of biochar-enzyme composites; and (WP3) pilot-scale testing in lysimeter systems with contaminated water and soil from former fire training sites. The PhD student will work under the main supervision of Assistant Professor Tetyana Budnyak and co-supervision of Professor Fritjof Fagerlund. The project is funded by a Tuffo grant, with co-financing from Uppsala University. The research subject for your doctoral studies is environmental analysis. The project will involve close collaboration with industry partners and other relevant actors, as well as with academic research groups in Sweden and internationally, which gives the PhD student the opportunity to work in a broad, interdisciplinary, and collaboration-oriented research environment. Duties The main task of a PhD student is to pursue doctoral research training, which includes both participation in research projects and research training courses. The duties may also include participation in teaching and other departmental work, but no more than 20% of working time. The duties will include synthesis and characterization of lignin-based biochar materials, screening and immobilization of enzymes, and evaluation of PFAS adsorption and degradation performance in laboratory column experiments and pilot-scale lysimeter systems with real PFAS-contaminated soil and groundwater. Qualification Requirements To be eligible for doctoral-level education, you must have completed a degree at advanced level in chemistry, biochemistry, environmental chemistry, materials science, environmental engineering, or related fields completed at least 240 higher education credits, of which at least 60 higher education credits at advanced level including an independent thesis of at least 15 higher education credits, or acquired substantially equivalent knowledge in some other way. We place high value on personal qualities and are interested in individuals who are determined, structured, well-organized, have strong analytical skills, and are interested in project planning and leadership. The PhD student must be able to work effectively both independently and in groups, lead and drive scientific projects while collaborating with other researchers. We are seeking a PhD student who is strongly motivated to complete doctoral studies within this interdisciplinary subject and who approaches tasks in a focused manner. We expect the PhD student to be proficient in both spoken and written English to communicate effectively with all colleagues and to publish internationally. Desirable/Meritorious Qualifications Applicants who expect to obtain their MSc in the near future are also encouraged to apply. It is meritorious, but not required, if the candidate has some experience in one or more of the following areas: experience with PFAS analysis, water purification technologies, or environmental remediation methods, characterization of physicochemical materials knowledge of data analysis and visualization Regulations for PhD students are found in the Higher Education Ordinance Chapter 5 §§ 1-7 and in the university's rules and guidelines. In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. Your answers will be used as part of the selection process. About the Position The position is time-limited, in accordance with HF Chapter 5 § 7. Full-time. Start date: January 1, 2027, or by agreement. Location: Uppsala Information about the position is provided by: Assistant University Lecturer Tetyana Budnyak ([email protected]) Welcome to submit your application no later than September 18, 2026, UFV-PA 2026/2467. Uppsala University is a broad research university with strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who with curiosity and commitment make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. For security vetting to be approved, the applicant must pass the security clearance. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Postdoctoral Researcher
The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on, among other areas, cancer, genetic and autoimmune diseases. One of the guiding principles at the department is to stimulate translational research and thereby promote closer collaboration between medical research and healthcare. Research is conducted within six research programs: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration, and vascular biology. Parts of the activities are also integrated with the departments of oncology, clinical genetics, clinical immunology, clinical pathology, and hospital physics at Uppsala University Hospital. The department has teaching responsibilities in several program educations, individual courses, and international master's programs within the medical faculty. The department has an annual budget of approximately 550 million kronor, of which about two-thirds come from external research grants. The number of employees is approximately 400, of which about 100 are doctoral students, and there are over 850 people in total in the workforce. Read more about the department's activities at: www.uu.se/medarbetare/institution/immunologi-genetik-och-patologi Responsibilities We are seeking a highly motivated and talented postdoctoral researcher who wants to join our team to drive innovative research in the development of next-generation CAR-T cell therapies. In this role you will: - Design, modify, and functionally validate new CAR-T cell constructs. - Use large-scale CRISPR screening platforms to identify genetic regulators of T cell persistence, tumor infiltration, and resistance mechanisms. - Perform complex in vitro analyses (e.g., cytotoxicity assays, cytokine profiling, and flow cytometry) as well as preclinical in vivo evaluations. - Collaborate closely with internal and external academic partners, clinical teams, and industry partners. - Analyze high-dimensional data and compile and write scientific manuscripts for publication in high-ranking journals. Qualifications - Ph.D. in immunology, cancer biology, biotechnology, molecular biology, or another relevant field, or a foreign degree deemed equivalent to a Ph.D. in the same. The degree must be completed by the time the employment decision is made. Ideally, the degree should have been obtained no more than three years ago. When calculating the three-year period, the deadline for applications is the starting point. If there are special circumstances, such a degree may have been obtained earlier. Special circumstances include leave due to illness, parental leave, positions of trust within trade union organizations, etc. - Documented practical experience in designing, producing, and validating CAR-T cells. - Demonstrated technical expertise in designing, conducting, and analyzing CRISPR screening (e.g., pooled or arrayed screening). - Strong background in molecular cloning, production of viral vectors (lentivirus/retrovirus), and culturing of primary human T cells. - High competence in advanced flow cytometry (multi-color panels, sorting) and standardized immunological assays. - Experience with animal work, including conducting preclinical in vivo experiments, is advantageous. Applicants with FELASA certification will be given preference. - Documented experience in analyzing omics data and competence in R programming. - A strong scientific record with publications as first author in peer-reviewed journals. - Excellent knowledge of English, both spoken and written, and good collaboration skills. Employment Details The position is a fixed-term contract for 2 years according to central collective agreement with the possibility of 1 year extension. Full-time position. Start date by agreement. Work location: Uppsala For inquiries about the position, contact: Di Yu, [email protected] Submit your application by September 3, 2026, UFV-PA 2026/2334 Uppsala University is a broad-based research university with a strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Learn more about our benefits and what it is like to work at Uppsala University: https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security clearance. Security clearance is a prerequisite for employment, and applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected] Open to All We focus on your competence, not your other circumstances. We are open to adapting the role or workplace according to your needs.
Research Assistant
Research Assistant Would you like to work with the application of artificial intelligence (AI) for hydrological modeling and prediction, supported by competent and friendly colleagues in an international environment? Would you like an employer that invests in sustainable employee engagement and offers secure, favorable working conditions? Welcome to apply for a position as a Research Assistant at Uppsala University. The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in Earth sciences. Here you will find broad expertise that contributes to solutions for important societal issues. Earth is a dynamic planet that is constantly changing. To understand how our planet works, our researchers seek answers in the field, through laboratory experiments, and advanced models. Our research and education cover a wide range of areas: rocks and minerals, weather and climate, the evolution of life, natural disasters, wind power and energy, environmental and water engineering, and sustainable development. Our research combines natural science and engineering with social science and is often interdisciplinary. At the department, more than 300 people from over 30 countries work together, both in Uppsala and at Campus Gotland. Our six research divisions: • Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information see: https://www.uu.se/institution/geovetenskaper The Research Assistant position is part of a seed project at the intersection of AI and Earth sciences supported by Uppsala University's Future Institute (UUniFI). The successful applicant will be employed at the Department of Earth Sciences but will also work extensively with collaborating partners at the Department of Information Technology. Work Tasks Research tasks include application of long short-term memory models, transformer models, and potentially other deep learning tools and techniques to improve and characterize flow predictions in watercourses throughout Sweden. Specific research tasks that can be expected include preprocessing of large datasets for analysis, reading and summarizing relevant scientific literature, writing and manipulating code in Python, managing computationally intensive computational processes, preparing and interpreting visualizations of code output, and quantifying uncertainty associated with predictions. Other important tasks include communication activities, including coordination with team members and preparation of figures and text for journal articles and funding applications. The successful applicant is also expected to participate in UUniFI meetings for the funded project groups. Qualification Requirements Applicants should have a bachelor's or master's degree in engineering, Earth sciences, information technology, or a related discipline. Applicants should demonstrate coding skills in Python, with coursework and/or research experience using long short-term memory models, transformer models, and/or closely related tools. Applicants should also have formal education and/or research in hydrology. Previous research experience, resulting in a poster, publication, or thesis, is required. Additionally, applicants are expected to demonstrate excellent oral and written communication skills in English and strong interpersonal skills that support collaborative activities. Desirable/Meriting Additional Qualifications Additional desirable qualifications include practical knowledge of best practices in reproducible data analysis, experience managing and curating large datasets, and experience with uncertainty analysis. About the Position The employment is fixed-term, 4.5 months. Full-time position at 100%. Start date September 15, 2026, or by agreement. Work location: Uppsala For information about the position, contact: Dr. Laurel Larsen, +46 767027427, [email protected] In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. Your answers will be used as part of the selection process. Welcome to submit your application by August 28, 2026, UFV-PA 2026/2444. Uppsala University is a broad research university with strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our greatest asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. A condition of employment is that the applicant is approved in the security vetting process. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Student in Multimodal Machine Learning for Energy Storage Materials
Department of Chemistry - Ångström conducts research and education in chemistry. The department has 270 employees and generates annual revenue of 300 million kronor. The department's six programs conduct highly successful research of international caliber. We have a large number of externally funded research projects, often with international collaboration, and we see continued strong growth within our field. The department provides education within engineering and civil engineering programs as well as master's programs. Project Description The development of tomorrow's energy storage materials relies on a fundamental understanding of how their chemical composition and structure change during operation in applications. No single method can capture the complete picture. Instead, researchers must rely on multiple complementary techniques, each providing an incomplete and indirect view of the same underlying process and which are traditionally interpreted manually and separately. Multimodal machine learning offers a principled alternative: integrating heterogeneous data streams from both experiments and simulations into a unified, physically grounded model. The project focuses on developing such a framework and applying it specifically to electrode/electrolyte interfaces in batteries, where surface-sensitive X-ray scattering techniques (X-ray reflectometry, GISAXS, and GIWAXS) and electrochemical quartz crystal microbalance with dissipation monitoring (EQCM-D) are combined in operando experiments. The core of the methodology is data assimilation, where the interface's underlying properties (mass, volume, density, porosity, and morphology) are treated as a latent state evolving in time, with each measurement technique contributing a noisy and incomplete observation through its own forward model. The work encompasses sequential Bayesian inference, deep state-space models, and uncertainty-aware representations trained on both experimental data and simulations, such as phase-field simulations of metal nucleation and growth coupled to lattice-Boltzmann modeling of the quartz crystal's acoustic response. Machine learning-accelerated surrogate models make these simulations sufficiently fast to function as transition and observation operators in the inference engine. Finally, the learned latent space is analyzed to extract physical meaning, and the models' generative capability is leveraged to translate data between techniques. The goal is an interpretable and uncertainty-quantified model of how interfaces form and grow, deepening understanding of metal deposition and surface passivation in Li-, Zn-, and Cu-based systems, and transferable to other materials and analytical techniques. The PhD student's task is to develop and implement this framework in close collaboration between chemistry and computer science at Uppsala University and together with our German partners. This involves building and validating inference and simulation pipelines, actively participating in planning and conducting operando experiments – including measurement campaigns at the synchrotron facility PETRA III (DESY, Hamburg) – and developing deep expertise in probabilistic machine learning, data assimilation, scientific computing, and analysis of electrochemical interfaces. The PhD student's focus is research. Some teaching responsibility may be assigned but will not exceed 20% of total working time. The PhD student will also take graduate courses closely connected to the project's research themes. We are looking for a highly motivated person who will contribute to high-quality scientific work in a multidisciplinary research environment, aiming to publish results in leading scientific journals and present them at both national and international conferences. Qualifications Required Applicants must have: - completed a degree at an advanced level, or - completed course requirements of at least 240 credits, of which at least 60 credits at advanced level (of which 15 credits constitute independent work), with content relevant to doctoral studies, or - in some other way, within or outside the country, acquired substantially equivalent knowledge - very good knowledge of English, both spoken and written - a degree at an advanced level or equivalent as described above in chemistry, materials science, computer science, applied mathematics, engineering physics, or a related field - the ability to express yourself clearly, document your work, and contribute to the community in a research environment Great weight will also be placed on personal qualities such as good collaboration skills, drive, and independence, as well as how the applicant, through their experience and competence, is assessed to have the ability to manage doctoral studies. Desirable/Meriting Additional Qualifications Practical experience with probabilistic machine learning, Bayesian inference, generative models, data assimilation, or scientific computing is meriting, as are strong programming skills (e.g., Python, PyTorch, or JAX). Experience with electrochemistry, battery research, X-ray scattering techniques, or analysis of experimental time series data is also advantageous. About the Position The employment is temporary according to the Higher Education Ordinance (HF) 5 chapter § 7. Full-time position. Start date October 1, 2026, or by agreement. Work location: Chemistry-Ångström Regulations for PhD students are found in the Higher Education Ordinance 5 chapter §§ 1-7 and in the university's rules and guidelines. Information about the position is provided by: Prof. Erik Berg ([email protected]) Welcome to submit your application by September 11, 2026, UFV-PA 2026/2414. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. The employment may be subject to security clearance. For security clearance, it is a prerequisite for employment that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Doctoral Student in Computational Image Analysis
Are you interested in developing new methods for image analysis and machine learning for precision medicine and clinical decision support? Do you want to be part of a research team with skilled and inspiring colleagues in an international environment? Are you looking for an employer that offers secure and favorable working conditions? Welcome to apply for a doctoral position at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, with over 350 employees, of whom 120 are teachers and 120 are doctoral students. Approximately 5,000 undergraduate students take one or more courses at the department each year. More information about us can be found on the department's website. The project is led by Professor Nataša Sladoje, within the research group MIDA – Methods for Image Data Analysis – at the Department of Information Technology and is conducted together with other researchers at the Centre for Image Analysis who develop computational methods with a particular focus on deep learning and image analysis. The project builds on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University as well as SciLifeLab, the national infrastructure for life science. Project Description Immunotherapy has become a life-saving option for patients with advanced cancer. However, only a minority of patients develop a sustained response. Many researchers are working to better understand the complexity of anti-cancer immunity and develop diagnostic methods that accurately predict treatment benefit and enable personalized cancer treatment planning. Modern AI-based methods are essential to advance this research frontier. This project is an important part of our broader initiative to develop and apply innovative, interpretable data-driven analysis methods to significantly increase our understanding of how immune cell interactions affect the cancer microenvironment. We will apply these analysis methods to high-information multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis in three-dimensional tissue space. This integration will enable improved prediction of disease progression and response to specific treatments. Duties The doctoral student will primarily focus on their own research training. Other work at the department, including teaching and administrative duties, may be included within the scope of employment (max 20%). Qualification Requirements Basic eligibility is held by those who: have completed a degree at advanced level in computer science, image analysis and machine learning, technical physics, data analysis, applied mathematics, molecular biotechnology, or a related field, or have completed at least 240 higher education credits, of which at least 60 at advanced level including an independent work of at least 15 higher education credits, or have acquired equivalent knowledge in some other way within or outside the country. The university may grant an exception from the requirement of basic eligibility for an individual applicant if there are special reasons. (7 ch. 39 § HF). For specific eligibility requirements, see the curriculum for the subject. Specific requirements are met by having completed courses in areas relevant to image analysis and machine learning, covering at least 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming, mathematical modeling, and statistics or equivalent. We seek candidates with: A strong academic background and solid understanding of computation and analysis; Good knowledge of Python programming and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in both spoken and written English; Creativity, thoroughness, and a structured approach to problem-solving; Good collaboration skills, drive, and independence. Desirable/Meriting Additional Qualifications Meriting qualifications include: Interest in biomedical research and experience applying image analysis in medicine; Experience with version control using Git, typesetting with LaTeX, and using Linux computers; Experience with convolutional and transformer-based neural networks for image analysis; Experience with graph-based methods and graph neural networks; Experience with explainable and interpretable AI (XAI). Provisioning for doctoral students is found in the Higher Education Ordinance 5 ch §§ 1-7 and in the university's rules and guidelines. Application The application must contain: Curriculum vitae (CV); Copy of degree/diploma and transcript of course record with grades; Thesis work (or a draft of this, and/or other self-produced technical or scientific text), scientific publications, and other relevant documents in electronic format; Contact information (name, email addresses, and phone numbers) of at least two references, with indication of the context, duration, and nature of the relationship to the candidate. Reference letters may be enclosed as supporting documents but are not required at the time of application. A personal letter (maximum one page) that includes: Your motivation for applying for this position; A short bullet list of three main academic or scientific achievements; Earliest possible start date (with reasons if applicable). About the Position The position is temporary, according to HF 5 ch § 7. The scope is full-time. Start date: 1 October 2026 or by agreement. Work location: Uppsala Information about the position is provided by: Prof. Nataša Sladoje (email: [email protected]). Welcome to submit your application by 20 August 2026, UFV-PA 2026/2366.
Engaged Personal Assistants Needed for Individual in Norrtälje
Alma Assistans is the engaged company that, in collaboration with the client, creates personalized assistance. We work closely with our clients and know that good relationships are the key to well-functioning assistance. We operate throughout Sweden with our head office in Uppsala and local offices in Gävle, Stockholm, Göteborg, Helsingborg, Jönköping, and Växjö. About the Position The client has extensive care needs and requires support in all aspects of daily life. As a personal assistant, you will become an important part of a team working to create a safe, active, and meaningful everyday life. Your tasks will include: Personal care and hygiene Dressing and undressing Meals, including regular food and tube feeding via PEG Help with breathing support (PEP mask) Training and rehabilitation Bathing in a rehabilitation bath weekly Walks and other activities Assistance with transfers and other daily support Day and evening shifts are staffed with two assistants, providing excellent opportunities for collaboration and a safe introduction. What We're Looking For We place great importance on personal suitability. We believe you will thrive in this position if you are: Responsible and thorough Calm, attentive, and responsive Flexible and self-motivated Someone who enjoys working closely with people Comfortable working both independently and collaboratively with colleagues It is important that you have excellent Swedish language skills, both spoken and written, as documentation and communication are vital parts of the work. Desirable Qualifications Experience in personal assistance Experience with brain injuries or extensive care needs Nursing assistant certification Most importantly, however, is that the personal chemistry is right and that you have a genuine commitment to the work. Introduction and Training To ensure safe and quality assistance, you will receive a thorough introduction before working independently. The introduction typically consists of three work shifts (two day shifts and one evening shift), but can be extended if needed. All new employees also complete Alma Assistans' web-based introductory training for personal assistants within three weeks of starting employment. Working Hours Working hours vary and include day, evening, and night shifts. Day 07.00–14.00 07.00–15.00 Evening 14.00–21.00 15.15–22.00 Night 21.00–07.00 There is also the possibility to work longer shifts. Employment is as hourly staff but can, by agreement, transition to a fixed-term employment ("as long as the assignment lasts"). Salary and Terms Fixed hourly rate by agreement Overtax compensation and other terms according to collective agreement Application Recruitment is ongoing, so don't delay submitting your application. To facilitate a quick hiring process, we would appreciate it if you already obtain: Certificate from the Police Register of Criminal Records (Work with children with disabilities) Certificate of good conduct from the Swedish Tax Agency Please have these documents ready for a potential interview. We look forward to receiving your application!
General Practitioner Wanted for Consulting Assignment
Specialist physician in general medicine wanted for consulting assignment. Morano BemanningsExperten AB is seeking specialist physicians in general medicine interested in consulting assignments where the need for medical expertise is significant. This is perfect for you if you appreciate variety, new work environments, and the opportunity to make an important contribution where your experience is truly needed. The length and scope of assignments can vary and be adapted as much as possible to your availability and preferences. Work typically takes place within primary care and may include clinic work, medical assessments, treatment and follow-up of patients. We're looking for you who Holds Swedish medical license. Is a specialist in general medicine. Is confident and independent in your professional role. Has a professional approach and clear patient focus. Adapts easily to a new workplace. We offer Varying consulting assignments in different locations. Opportunity to influence work periods and geographic area. Personal contact before and during the assignment. Clear information about the assignment before you decide. Competitive terms. Opportunity for compensation for travel and accommodation, by agreement for the specific assignment. About Morano BemanningsExperten AB Morano BemanningsExperten AB works with staffing, consultant hiring and recruitment. We work personally and with quality awareness with the goal of creating a good match between consultant and organization. Expression of Interest Send your CV and a brief presentation to: Email: [email protected] Website: www.moranoexperten.se Please tell us: When you are available. What scope of work you desire. If Uppsala is relevant for you. Which other locations or areas you can work in. If you prefer day, evening or night work. Note: If Uppsala doesn't suit you but you're interested in consulting assignments, please indicate which locations you can work in and when you're available. Selection and contact takes place on an ongoing basis. We welcome your expression of interest!
Licensed Registered Nurse for Contract Assignment in Uppsala County
Licensed Registered Nurse for Contract Assignment in Uppsala County Morano BemanningsExperten AB is seeking licensed registered nurses for contract assignments within Uppsala County. About the Assignment Assignment Duration: 3–6 months Opportunity for extension Scope: full-time or part-time Location: Uppsala County Start: by agreement Work Hours: day, evening, night, and weekend shifts depending on operational needs We are looking for both general registered nurses and specialist nurses. Experience from municipal care, home healthcare, assisted living facilities, hospitals, psychiatry, primary care, or other healthcare settings is a plus. We Are Looking for You If You Are a licensed registered nurse. Have relevant professional experience. Are independent, responsible, and confident in your professional role. Have a professional demeanor and clear patient focus. Speak and write Swedish well. Are interested in contract assignments on a full-time or part-time basis. We Offer A flexible contract assignment matched to your competence and availability. Opportunity to influence scope and working hours. Personal contact and support before and during the assignment. Clear information about the assignment and terms before you commit. Competitive terms based on assignment requirements and scope. Application Send your CV and a brief introduction to [email protected]. Please include: Your current place of residence Professional experience and any specialist qualifications Availability Desired employment rate Which locations within Uppsala County you can work in Your preference for day, evening, night, or weekend shifts Mark your application: Registered Nurse Uppsala Selection and interviews are conducted on an ongoing basis. Candidate information is not presented to a client without the candidate's approval. We look forward to receiving your application!
Licensed Nurse Wanted for Consulting Assignment in Uppsala
Licensed Nurse Wanted for Consulting Assignment in Uppsala Morano BemanningsExperten AB is seeking an experienced and flexible nurse interested in consulting assignments in Uppsala. This role is perfect for you if you appreciate variety, want to develop in new healthcare environments, and at the same time have the opportunity to influence when and where you work. About the Assignments As a consultant through Morano, you will work for one of our partners or clients in healthcare and care services. The assignments are adapted as much as possible to your experience, skills, availability, and desired work period. Working hours may include day, evening, night, and weekend shifts depending on the needs of the organization. We're Looking for You If You Are a licensed nurse. Have at least two years of relevant professional experience. Are confident and independent in your professional role. Have a professional approach and clear patient focus. Have good teamwork abilities. Easily integrate into new work groups. Speak and write Swedish fluently. Experience from, for example, municipal healthcare, home healthcare, SÄBO, primary care, psychiatry, or inpatient care is a plus. What We Offer Varying consulting assignments. Assignments matched to your skills and availability. Opportunity to influence work period and geographic area. Personal contact before and during the assignment. Clear information about assignments, working hours, and terms before you make a decision. Competitive terms. Possibility of compensation for travel and accommodation when working in another location, according to agreement for the specific assignment. About Morano BemanningsExperten AB Morano BemanningsExperten AB works with staffing, consultant hiring, and recruitment. We work personally and with quality focus with the aim of creating a good match between consultant and organization. How to Apply Send your CV and a brief presentation to: Email: [email protected] Website: www.moranoexperten.se Please also tell us: When you are available. What scope of work you wish to have. If Uppsala is relevant for you. What other locations or areas you can work in. If you prefer day, evening, or night work. Note: If Uppsala doesn't suit you but you are interested in consulting assignments, feel free to indicate which locations you can work in and when you are available. Selection and contact take place on an ongoing basis. We look forward to your application!
Licensed Nurse - Fall Position in Uppsala
We are looking for you who are a licensed nurse with several years of professional experience. The assignment runs between weeks 36-48 with the possibility of extension. Submit your application today – we look forward to hearing from you! About Magnifiq Kompetens We are a staffing agency in healthcare and elderly care that prioritizes quality, safety, and compassion. We value our consultants highly and work to ensure you feel seen, supported, and appreciated throughout your journey with us. Magnifiq Kompetens partners with public and private healthcare facilities across the country. Through clear terms, personal contact, and long-term collaborations, we create the conditions for secure assignments and a sustainable work environment. Do you have questions about the assignment, or would you like to know more about Magnifiq Kompetens? Contact us at 090-136 200
Carpenter Uppsala
We are currently seeking several carpenters for assignments in Uppsala. You should be self-driven and have experience with various types of carpentry work including drywall, installing studs, ceilings, floors, and interior work. We prefer that you have at least 6 years of experience or a professional certification. We have long-term partnerships with a large portion of our customers, and the assignments vary in terms of client company size, production type, and project length. These require high standards and a thorough understanding of our work approach, where our employees are the most important resource for ExpanderaMeras already strong and well-established brand. If you have any questions, please contact the office at 08-53034378 or apply directly at [email protected] We look forward to your application and please don't forget to include references.
Pharmacist/Pharmacy Technician with Extemporaneous Preparation Authorization
💊 Consulting Assignment: Manufacturing Pharmacist with Extemporaneous Preparation Authorization Are you a licensed pharmacist with experience in extemporaneous compounding? Are you flexible and willing to work in a different location? Then this might be the right assignment for you. Morano BemanningsExperten AB is seeking a licensed pharmacist or pharmacy technician with extemporaneous preparation authorization for a consulting assignment in pharmaceutical manufacturing for a client in Västernorrland. 📅 Start: Immediate ⏱ Assignment Length: Six months, with good potential for extension 📍 Location: Västernorrland We offer: Accommodation Travel and mileage reimbursement Travel time compensation Competitive terms About the Role As a manufacturing pharmacist, you will work with extemporaneous compounding of pharmaceuticals according to current regulations and quality requirements. You are responsible for ensuring that manufacturing, documentation, and quality control are carried out correctly, safely, and efficiently. Work is conducted in close collaboration with colleagues in production and quality. You contribute to maintaining high patient safety and good product quality. The assignment also includes: Identifying and managing deviations Participating in improvement initiatives Contributing to the development of procedures and working methods This role suits you if you thrive in a structured work environment with high quality standards and want to work practically with pharmaceutical manufacturing. We are looking for someone with: Swedish licensure as a pharmacist or pharmacy technician Extemporaneous preparation authorization Experience with extemporaneous compounding and quality work Good analytical abilities and the ability to identify risks and deviations A structured approach and strong prioritization skills A solution-oriented and responsible mindset Good collaboration skills and an ability to build strong relationships About Morano BemanningsExperten AB Morano BemanningsExperten AB is a consulting and staffing company with several years of experience in pharmacy. Application Does this feel like the right assignment for you? Please send your application today via our website or by email. Selection and interviews are conducted on a rolling basis, and the assignment may be filled before the final application deadline.
Elevator and Escalator Technician at Hissmontörerna i Sverige AB
We are seeking elevator technicians for work with modernization and new installation of elevators. The geographic area is primarily Gävleborg and Dalarna, but work can take place throughout Sweden, so you must be prepared to travel and stay overnight in other locations. The work is carried out both independently and in collaboration with colleagues. You will work with maintenance, new installations, and renovations of elevators as well as technical support and customer contact. To fit the role, you are technically curious, self-driven, and enjoy taking responsibility. You have a natural service mindset and appreciate a role where customer contact is part of the job. You are trained as an electrician and/or have education and experience in mechanics/automation. You must be proficient in Swedish and English, both spoken and written, and have a Swedish category B driver's license.
Physiotherapist for Assignment in Tanum from September 14 to December 31
Te Crea Care was established in 2013 and staffs nurses, physiotherapists, occupational therapists, and social workers. We have agreements with all regions, many municipalities, and private healthcare providers. This means we can offer you many different types of assignments throughout the country. Te Crea Care has continuously worked intensively with procurement to ensure that as a consultant you have many assignments to choose from on really good terms. We work closely with our consultants where we are a team. Requirements or preferences: - Licensed physiotherapist with two years of experience. - Good knowledge of Swedish, both spoken and written. You are flexible and can adapt to different work environments. You are confident in yourself and have the ability to prioritize, delegate, and lead. We are looking for you who value personal responsibility, participation, and who contributes to a positive work environment. You are attentive and treat people with respect and care. We are with you every step of the way from the start of your assignment, continuously during the assignment, and when it's time to look at what comes next. We help you find the best assignments, book travel and accommodation if needed, serve as a sounding board during the assignment, and stay one step ahead for your next assignment. We offer you: Market-competitive salary A dedicated consultant manager Comprehensive insurance Flexible pension Wellness allowance Training Referral bonus Consultant meetings You are fully insured during your assignment with sick leave insurance and serious terms. We use continuous selection in this recruitment. You are warmly welcome to apply today. If you are interested, contact us at 28 96 or visit our website at www.tecreacare.com