79 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral positions at Aarhus University
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qualified applicants to apply regardless of their personal background. Project The Ultra:bit project is a collaboration among DR, Centers for Teaching Aids - Denmark, the Centre for Computational Thinking and
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The Department of Biomedicine, Faculty of Health, Aarhus University invites applications for a postdoctoral position in Computational Spatial Proteomics and Multi-Omics Integration, starting 1
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of the project is to map these states with Scanning Tunneling Microscopy/Spectroscopy (STM/STS) and where possible, angle-resolved photoemission spectroscopy (ARPES). Your work will focus on the spectroscopy, and
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soon as possible thereafter. The position will be for two years. The postdoc will be supervised by Professor Doug Speed, and based at the Department of Quantitative Genetics and Genomics (QGG) at Aarhus
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant
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Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Department of Management, please visit: http://mgmt.au.dk/ . Further information For further information about the position and the department, please contact Assistant Professor Gabriele Torma, email
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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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