53 computing-"https:"-"https:"-"https:"-"ESPCI-Paris---PSL" positions at Nature Careers in Denmark
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
We invite applications of Electrical Engineers (Ba/Ma) for participating in a research projects for 2 months starting May, 1st, 2026 in the HCC section at the Department of Computer Science. Our
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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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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
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DTU Tenure Track Researcher in Computational Heterogeneous Catalysis – DTU Physics A scientific staff position is open in the Catalysis Theory Center at the Department of Physics (DTU Physics) and
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
The Department of Mathematics and Computer Science at the University of Southern Denmark invites applications for both tenure-track Assistant Professors and Associate Professors in Computer
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The Centre for Formal Methods and Future Computing (FORM) and the Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark (SDU, Campus Odense and Vejle) seek
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A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded by
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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella of the Danish
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer