72 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral positions at Nature Careers in Denmark
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html ). Aarhus is easily reached via local international airports in Jutland within 1 hour of Aarhus, or via
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Associate Professor Mette Bliddal, mette.bliddal@rsyd.dk or Head of Department at the Department of Clinical Research Rikke Leth-Larsen, rllarsen@health.sdu.dk Application deadline February 15, 2026
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at scientific conferences. Excellent English skills, both written and oral Who we are You will be part of the Section for Microbiology. To find out more about who we are check the following page: https
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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Disease. The antibodies will be engineered for optimal target engagement. The work involves a close collaboration with PI Dr. Simon Glerup (CSO, Draupnir Bio ApS) and Assoc. Prof. Nathalie Van Den Berge
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Foundation Experiment, led by professor Anton Pottegård and assistant professor Noémie Roland. The project The postdoc will be affiliated with the DiPP project (Digital Participatory Pharmacoepidemiology in
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is