152 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" positions at Aarhus University
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Professor in the field of advanced arrhythmia management as per 1 June 2026 or as
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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The Department of Clinical Medicine, Faculty of Health, Aarhus University, invites applications for a position as Clinical Professor in Oncology, to commence on 1 May 2026 or as soon as possible
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://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior
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is a full-time permanent position. The starting date is 1 September 2026 or as agreed upon. Associate professors balance their time evenly between research and teaching activities. The successful
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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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