58 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" uni jobs in Denmark
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The Department of Computer Science, Aarhus University invites applications for postdocs, funded by Professor Anders Møller’s ERC Advanced Grant project “Program Analysis for Software Supply Chain
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Want to show what student life at the Department of Computer Science is really like – the good, the challenging and the fun? And do you know what makes content work for a student audience on
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Do you want to help shape the next generation of computer vision and artificial intelligence research in an international, collaborative lab environment? We are looking for an assistant professor
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of Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students in a
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Assistant professor or Assistant professor Tenure Track, Department of Computer Science, Copenhagen Section Department of Computer Science, Aalborg University is hiring Assistant professors
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Full professor in Computer Science The Department of Computer Science at the Technical Faculty of IT and Design, Aalborg University, is looking to appoint a Full Professor starting April 1, 2027
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11 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science Research Field Computer science Researcher
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
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Tenure Track Assistant Professors in Theory and Freestanding Oxide Membranes for Energy Applications
will be hosted jointly by the Section for Atomic Scale Materials Modelling (ASM) and the Section for Functional Oxides (FOX): one position is devoted to the theoretical and computational design of
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functions, molecules, and technologies. We seek candidates who combine fundamental understanding of biological and biochemical systems with quantitative, computational, and engineering approaches to design