24 computer-science-phd "The University of Copenhagen" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
at the Department of Food Science, Faculty of Science, University of Copenhagen, and located at the Frederiksberg Campus. We offer creative and stimulating working conditions in a dynamic and international research
-
of Copenhagen (ku.dk) Our research We are a team of highly skilled researchers collaborating with international partners from industry and other universities to perform exciting interdisciplinary science using
-
The Department of Political Science, University of Copenhagen, is hiring a postdoctoral researcher (36 months) for the project “Lobbying (A)symmetry: The Dynamics Behind Informed Policy” (LOBBYMETRY
-
The Cognition, Intention, and Action (CoInAct) Research Group and Department of Psychology, Faculty of Social Sciences, University of Copenhagen (UCPH), Denmark, invites applications for a
-
regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field
-
spirit and is interdisciplinary, covering bioinformatics, statistics, machine learning/AI, and computer science. Project description The postdoc will apply machine learning/deep learning approaches along
-
Centre for Comparative Culture Studies at the Department of Cross-Cultural and Regional Studies, Faculty of Humanities, University of Copenhagen (UCPH), invites applications for a 22-month
-
computational biology infrastructure at the Department of Cellular and Molecular Medicine. Collaborations are in place locally to access additional facilities and techniques including state-of-the-art optical
-
The Department of Food Science at the University of Copenhagen (UCPH FOOD) is seeking a highly motivated postdoctoral researcher for a 2-year position, starting 1 September 2025, or as soon as
-
regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field