17 postdoc-computational-biomedical-engineering Postdoctoral positions at University of Groningen
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) Positions Postdoc Positions Country Netherlands Application Deadline 12 Oct 2025 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Part-time Hours Per Week 32 Offer Starting Date 1 Mar 2026 Is
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a Postdoc position within the
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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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if you Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Founded in 1614, the University of Groningen (The Netherlands
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Organisation Job description This postdoc position will focus on quantitative and spatial analysis of regional population declines and changes in the provision of health and care services since
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoc position will focus on quantitative and spatial analysis of regional population