73 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aarhus University in Denmark
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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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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Department of Biological and Chemical Engineering is a multidisciplinary research area. It includes diseases and health, materials, environmental technologies, power-to-X, biorefining, energy
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The Department of Civil and Architectural Engineering at Aarhus University is looking for innovative and visionary tenure track Assistant Professors or Associate Professors in Construction
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Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
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is co-funded by departments of CC and CS. The daily work will happen in the context of CCTD and more specifically, The National Knowledge Center for Digital Technology Comprehension https
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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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, for example in natural sciences, computer science, engineering, or a related field. We expect that you: Have experience with data management and/or development of IT solutions Have experience with
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater