35 assistant-and-professor-and-computer-and-science-and-data-"U" positions at University of Copenhagen
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track assistant professor or associate professor to commence 1 February 2026, or as soon as possible thereafter. The Department of Biomedical Sciences focuses on basic and translational biomedicine, and
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The Department of Veterinary Clinical Sciences (IKV) invites applications for a highly motivated and academically ambitious Assistant Professor in Veterinary Neurology to commence 15 October 2025
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PhD fellowship in Computer Supported Cooperative Work (CSCW) PhD Project in Novel Computer Science Teaching Methods considering Neurodiversity, Physical Computing, and Universal design in teaching
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assistant professor in Forestry for three years. We are looking for candidates who will strengthen our efforts to support forests as resilient, adaptive ecosystems that provide essential services to society
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abstract mathematical concepts and their use in biological physics to work with experimentalists in biological physics, including the interpretation of data. Work in this position is required to focus on how
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materials for teaching. In addition, you will aid the scientific staff in their day-to-day work in activities related to data science research and education within the Center. Actual teaching of students in
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The Faculty of Law, University of Copenhagen (UCPH), invites applications for one or more positions as tenure track assistant professor in Law. The positions are linked to research -, teaching -and
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, including with the group of professor Nikos Hatzakis, that are experts in single molecule functional readouts. Who are we looking for? We are looking for candidates within the field(s) of chemistry and
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We are looking for a highly motivated Assistant Professor in Companion Animal General Practice and Didactics from 1 November 2025 or as soon as possible thereafter. The position is fixed term
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technologies for removing PFAS “forever chemicals” from the environment. You will collaborate with Prof. Anders Krogh’s group, Department of Computer Science, UCPH, on applying ML for protein-ligand predictions