146 computational-physics "https:" "https:" "https:" "UCL" "UCL" positions at Aarhus University
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information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained from Senior Researcher Stig Purup, phone: +45 29345955 , email: stig.purup@anivet.au.dk
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dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor, or start of your Master programme. In terms
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at two geographical locations in Aarhus and Roskilde. The Section for Biodiversity is situated in Aarhus and employs about 25 staff members. For more information on the Department see: http://ecos.au.dk/en
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at the Department of Physics. The position is available from the 1st of May 2026, or as soon as possible hereafter. Job description Your research will look at a special class of porous metal-organic frameworks (MOFs
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The project will involve both experimental and computational work and the candidate is expected to be comfortable with both. The candidate is expected to have (or be close to finishing) a Ph.D. in molecular
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of memory narratives. Perform data analysis using statistical software such as R and SPSS. Contribute critically to academic writing and the publication process. Take part in the center’s research events
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job advertisement is available at https://international.au.dk/about/profile/vacant-positions/job/statistician-technical-administrative-personnel We are not accepting applications for this job through
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information about the application process, please contact HR support at iks-hr-sag@au.dk . The workplace will be at Institute for Culture and Society, Aarhus University, Jens Chr. Skous Vej 5, 8000 Aarhus C
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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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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python