82 systems-science-"https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" Postdoctoral positions at Aarhus University
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and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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biology, biochemistry, biophysics, biology, biotechnology, nanoscience or similar, and a good track record of productivity. Experience with some, but not all, of the following topics is required
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of Molecular Biology and Genetics at Aarhus University seeking to understand RNAs role in the onset of Darwinian evolution. The lab takes inspiration from simple natural replicons for engineering RNA systems
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and ultimately prevent cancer occurrence. Your job responsibilities As Postdoc in spatial biology your position is primarily research-based but may also involve teaching assignments. You will contribute
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nitric oxide, stemming either from cardiac endothelial cells or cardiomyocytes. Your job responsibilities As Postdoc in muscle cell biology and cardiovascular research, your position is primarily research
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19 Mar 2026 Job Information Organisation/Company Aarhus University Research Field Engineering Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions
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management, organisation studies, marketing, sociology, human geography, science and technology studies, sustainability transitions, public policy, rural studies, or a related field. We are particularly
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of Natural Sciences, Ny Munkegade 118, 8000 Aarhus C. The complete job advertisement is available at: https://international.au.dk/about/profile/vacant-positions/job/postdoctoral-positions-in-mathematics-3 We
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied