347 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" research jobs in Denmark
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, labour shortage, rising health burden and rapid technological development call for a rethinking of management, organization, working procedures and technology usage. The aim of the research program is to
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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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genes and mechanisms in DNA double-strand repair using automated equipment for high-throughput strain engineering, novel assays for detection and monitoring DNA repair, as well as the use of fluorescence
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The Department of Biomedicine, Faculty of Health, Aarhus University invites applications for a postdoctoral position in Computational Spatial Proteomics and Multi-Omics Integration, starting 1
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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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
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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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Science in Engineering, and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on
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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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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