76 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Umeå University
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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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scale longitudinal surveys on ageing and health. Some analyses will be also carried out using register data. For more information about the HEALFAM-project, see: https://sites.google.com/view/healfam/home
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information about the department is available at: https://www.umu.se/en/department-of-computing-science/ Main duties We are looking for a project coordinator who will work with operational management support
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quantum physics/chemistry, inorganic and materials chemistry, solid state chemistry or physics. · Good laboratory skills and interest in experimental research. · Programming skills for modeling and data
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, holiday leave, and occupational health services. Read more about the benefits of being an employee at Umeå University here: https://www.umu.se/en/work-with-us/benefits/ . Application You apply via our e
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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. The project employs several techniques including fluorescence microscopy, electron microscopy, and advanced image data analysis. Duties Establishment of plasma membrane model systems and studies of replication
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in