232 post-doc-image-engineering-computer-vision Postdoctoral research jobs in Netherlands
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- University of Groningen; 26 Sep ’25 published
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2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-Doc: Manifesting Mandates: Navigating Ambiguity in UN Special Political Missions
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Post-Doc: Manifesting Mandates: Navigating Ambiguity in UN Special Political Missions (1,0 FTE) The Institute of Security and Global Affairs (ISGA) wishes to appoint a full-time Post-Doctoral
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Apply now Post-Doc: Manifesting Mandates: Navigating Ambiguity in UN Special Political Missions (1,0 FTE) The Institute of Security and Global Affairs (ISGA) wishes to appoint a full-time Post
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researchers in the laboratory and the clinic. To select the right treatment for each individual patient, the department conducts research into molecular imaging, a promising method for non-invasively studying
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for an enthusiastic Post-Doc candidate (or a candidate at the very end of the PhD trajectory) that will work on soil heath literacy and awareness, and help advancing environmental and sustainability education and
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Your job We are looking for an enthusiastic Post-Doc candidate (or a candidate at the very end of the PhD trajectory) that will work on soil heath literacy and awareness, and help advancing
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep