20 computer-programmer "https:" "https:" "https:" "https:" "OSU" Postdoctoral scholarships in Denmark
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and working in Denmark here: http://international.au.dk/research/ Aarhus University also offers a junior researcher development programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/
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DTU Physics invites applications for a position as Full Professor in Quantum Technology based on ...
obtained from Professor Ulrik Lund Andersen [email protected] You can read more about DTU Physics at https://physics.dtu.dk/ If you are applying from abroad, you may find useful information on
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more about the department and sections here: https://bce.au.dk/en/research/key-areas-in-research-and-development What we offer The department/centre offers: a well-developed research infrastructure
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Computer Science Ref number: 2026/958 Employment type: Full Time Apply Aalborg Deadline : 31.08.2026 Department: Department of Computer Science Ref number: 2026/958 Employment type: Full Time Apply Vacant
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and
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the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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sources and demand profiles. Spatio-temporal optimisation of waste-heat sources and supporting energy technologies integration. Cross-domain collaboration with computer science. This position is part of an
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science, including (but not limited to) computer science, communication, journalism, political science, linguistics, information studies, digital humanities, sociology or psychology. An ideal candidate
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impact in the green transition. You have: A PhD in chemical engineering, process engineering, mechanical engineering, data science, computer science, energy engineering or a closely related field. Solid
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competences Background in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or related fields, with a relevant PhD degree (required). Computational