71 Engineering-"https:" "https:" "https:" Postdoctoral positions at Aarhus University
Sort by
Refine Your Search
-
. For further information about the school, please see http://cas.au.dk/en/ . For more information on the Locally Crafted Empires project, please see https://projects.au.dk/locally-crafted-empires
-
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
-
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
-
The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
-
/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research
-
: 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
-
Natural 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
-
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
-
technical direction of the project. About You Applicants must hold a PhD (or equivalent research experience) in engineering, chemistry, physics, materials science, or a related discipline. Some of the
-
and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning