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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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: 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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https://www.academictransfer.com/en/jobs/355118/postdoctoral-researcher-in-func… Requirements Specific Requirements Required qualifications: A PhD in ecology, plant sciences, environmental sciences, or a
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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
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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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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project
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(UU) and the project itself is a collaboration between Utrecht University and the University of Twente (UT). You will join the existing team of one PD and one PhD student, led by André Niemeijer (UU
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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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(proven by a PhD) in innovation studies, economic geography, Science and Technology Studies, or a related discipline; You have an affinity with in-depth social research and innovative methodologies with a
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, while working in an ambitious, motivated, and multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. You will also participate in the co-supervision of PhD