52 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" positions at Umeå University
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conducted in the SYMBIO group (https://www.umu.se/en/research/groups/symbio/), which is a very active research group conducting translational research in the medical area, with funding from e.g. The Swedish
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. Read more: https
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its general study plan, is available at: https://www.umu.se/en/department-of-political-science/education/doctoral-studies/ The student will work in Umeå, and the doctoral program is given on site
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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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. The research group is associated to the strong microbiology research center in Umeå, the Molecular Infection Medicine in Sweden (MIMS, https://www.umu.se/mims/) and Umeå Centre for Microbial Research (UCMR
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University, Sweden. The position is the part of the projects within the consortium MIPrecise under Marie Sklodowska-Curie action by the Framwork Programme of the European Union for Research and Innovation
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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an employee at Umeå University here: https://www.umu.se/en/work-with-us/benefits/ . Application You apply via our e-recruitment system Varbi. Log in and apply via the button at the bottom of the page
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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