51 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Umeå University
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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
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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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of the agreement on fixed-term employment as a postdoctoral fellow. More information about the group's research can be found on our website https://www.umu.se/en/research/groups/physiology-of-cortical-microcircuits
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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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. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/ . General
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, University of Nottingham, Weill Cornell Medical Center, New York. You can find more information about us at https://www.umu.se/en/staff/jenny-persson/ . We are looking forward to receive your application!
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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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, 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-recruitment
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-HS project “Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall