146 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "UCL" positions at Aarhus University
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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The School of Communication and Culture at Aarhus University invites applications for the position of Associate Professor of Foreign-Language Education, based at the Department of German and Romance
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be responsible for the day-to-day operation – and along with the rest of the team, you will help develop the programme even further with new participants and funding model(s). The role does not include
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Aarhus University seeks a Mission Operation Manager for 1 year to lead operations of the DISCO-2 satellite set for launch in March 2026 and to strengthen Aarhus University’s end-to-end space
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cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500
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description EuroCC3 is the follow-up project of the EuroCC (European Competence Centre) and EuroCC2 on High-Performance Computing ( https://www.deic.dk/da/eurocc-denmark ). The national competence centres (NCCs
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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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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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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
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum