59 postdoctoral-image-processing-in-computer-science-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Copenhagen in Denmark
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. The research team consists of another postdoctoral researcher who will conduct comparative case studies of Germany and Denmark (WP2-3) and the P.I. Job Description In a context of multiple global crises–COVID-19
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The Employment Relations Research Centre (FAOS) at the Department of Sociology, University of Copenhagen, invites applications for a fixed-term postdoctoral researcher position (2 years) starting 1
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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Applications are invited for one postdoctoral position from 1 November 2025 or as soon as possible thereafter. The position is part of the ERC project MERCURY Mercenarism and the Accountability Void
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The Department of Chemistry invites applicants for a PhD fellowship in nanochemistry and ultrafast spectroscopy. The project is part of the research project “Subcellular multiplex imaging with
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– University of Copenhagen Our Research Veterinary Neurology is part of the Section for Diagnostic Imaging, Companion Animal Surgery, and Clinical Specialties, Department of Veterinary Clinical Sciences. It
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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We are offering a Post Doc for a three-year period within structural biology commencing 1 November 2025 or as soon as possible hereafter. Our group and research The Laboratory for Membrane Protein
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University of Copenhagen, Dept of Mathematical Sciences Position ID: 821 -SPTIE2025 [#26845] Position Title: Position Type: Postdoctoral Position Location: Copenhagen, Copenhagen 2100, Denmark [map
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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and