14 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Utrecht University
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the computational component of the project. You will collaborate closely with the principal investigator, two PhD candidates (working in psycholinguistics and cognitive science) and one postdoctoral researcher
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retrieval. As a postdoctoral researcher, you will be part of the computational component of the project. You will collaborate closely with the principal investigator, two PhD candidates (working in
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) Country Netherlands Application Deadline 17 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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hampered by uncertainties about viable business models and reward structures. Your job This postdoctoral position is part of ReGeNL , a large national inter- and transdisciplinary research programme aimed
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completed a PhD programme in Earth Sciences, Physics, Computational Science or a related discipline by the time the position starts. Preferably, you will also have: Experience in computational techniques
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Deadline 26 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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and one PhD student, led by André Niemeijer (UU), Hongyang Cheng (UT) and Tanmaya Mishra (UT). The project is part of the research programme DEEPNL , funded by the Dutch Research Council (NWO
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, when relevant; Contributing to university courses offered by the department. Your qualities Required qualifications: A PhD in ecology, plant sciences, environmental sciences, or a closely related field