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                The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship in Explainable Natural 
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                Department of Computer Science Faculty of SCIENCE University of Copenhagen The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at the University 
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                deliver a training program to 13 doctoral candidates from 11 different partner universities. This doctoral position is based at the Section for History and Philosophy of Science, Department of Science 
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                30 Sep 2025 Job Information Organisation/Company University of Copenhagen Department Department of Food Science & Niels Bohr Institute Research Field Biological sciences Chemistry Physics Researcher 
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                TRANSCEND , which will deliver a training program to 13 doctoral candidates from 11 different partner universities. This doctoral position is based at the Section for History and Philosophy of Science 
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                Research Infrastructure? No Offer Description Department of Mathematical Sciences Faculty of Science University of Copenhagen Within the European Union’s Horizon Europe research and innovation programme 
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                the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Veterinary and Animal Sciences 
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                12 Sep 2025 Job Information Organisation/Company University of Copenhagen Department Department of Veterinary and Animal Sciences Research Field Medical sciences » Veterinary medicine Researcher 
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                , computational chemistry or similar. Our group and research- and what do we offer? In our group we work with theoretical catalysis, which is based on atomic scale simulations and dynamics. In this way we have 
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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