144 engineering-computation "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Aarhus University
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: http://international.au.dk/research/ The Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education
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jointly hosted by the Department of Chemistry and the Department of Biological and Chemical Engineering, and will be embedded within the Partoon and Daasbjerg Groups at the Novo Nordisk Foundation CO
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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: https://midtjob.dk/ad/overlaege-i-klinisk-onkologi-til-dansk-center-for-partikelterapi-auh/mxv1p8 Your competences You have established yourself as a prominent clinical researcher within oncology, and you
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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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Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in
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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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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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The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep