28 computational-physics-simulation "UCL" Postdoctoral positions at Utrecht University
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab , and the Earth Simulation Lab . We also have excellent High- Performance Computing
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding
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& Spatial Planning, Physical Geography, and Sustainable Development. The Department of Earth Sciences conducts teaching and research across the full range of the solid Earth and environmental Earth sciences
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Simulation Lab . The latter houses the experimental facility that DEEP-FLUX will use. We also have excellent High- Performance Computing facilities. About Utrecht The department and its facilities are located
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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 ACT! is seeking a postdoc to develop practical tools for assessing
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Postdoc: Subsurface Freshwater Storage and Groundwater Modelling Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8
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create healthy physical activity-related habits. As a postdoctoral researcher, you will lead the development of an innovative AI-enabled recommender system for urban (re)design. The system will combine