61 cloud-computing-"https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Aarhus University in Denmark
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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
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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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We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates
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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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in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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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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of Animal and Veterinary Sciences (au.dk) for further information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained from Head of Research Unit Peter
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for ensuring biosecurity for animals kept outdoors Development and evaluation of a training and testing programme targeting European pig inspectors to monitor tail lesions at slaughter The preferred candidate
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural