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research has a high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been
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or 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 . The latter houses the experimental facility
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specialists, and Sahelian research partners — this post-doc position will help to lead the cross-cutting work package that co-develops, implements, analyses, and communicates findings from pilots and RCTs
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-driven dynamical systems, perturbative theories in celestial mechanics, symbolic regression, inverse methodologies via differentiable simulations, efficient high-dimensional numerical quadrature and more
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
design criteria for inclusive eHMIs. Develop accessible VR simulators for people with disabilities. Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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transdisciplinary action research team of 3 PhD researchers (VU Organizational Sciences/VU Athena Institute/WUR), one post doc (TU Delft TBM) and three senior researchers (HvA/HR). Your role will be to synthesize
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in Work Package 3, modelling and simulation tools in Work Package 2, and case studies in Work Package 4. This will involve aligning pathway development with suitable assessment approaches, co-designing
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding