145 computational-physics "https:" "https:" "https:" "UCL" positions at Aarhus University
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
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strong emphasis on publishing in leading academic journals and presenting at recognised conferences. You can read more about the Department of Management at: http://mgmt.au.dk . Contact information Further
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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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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