61 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at Aarhus University in Denmark
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Assistant Professor in the field of adipose and liver biology as per 1st of March 2026
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educational design and/or on digital technologies and didactics within the Bachelor’s degree programme in educational science. The ICT-based educational design programme is primarily delivered online, through
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environment is viewed as important. Please refer to https://mpe.au.dk/ for further information about The Department of Mechanical and Production Engineering and to https://tech.au.dk/en/ and https://www.au.dk
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The Department of Political Science at Aarhus BSS, Aarhus University, invites applications for one or more full professors in political science. The professorship is a full-time and permanent
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Society at the Department of Food Science, Aarhus University ( http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The focal area for the position will be different tasks
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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involvement in teaching in animal science and in the veterinary science programme. Research-based consultancy to authorities, where it is relevant. Who we are Department of Animal and Veterinary Sciences is
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater