21 assistant-professor-computer-science-and-data Postdoctoral research jobs at Aarhus University in Denmark
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services for international researchers and accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C. The area of employment is Aarhus University with related departments. Contact information For further information please contact Center leader and professor
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obtained from Professor Davide Cammarano ( davide.cammarano@agro.au.dk ) Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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, Tjele. The affiliation will be with Section of Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu ( wushubiao@agro.au.dk
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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time