74 Computer-Science "https:" "https:" "https:" "https:" Postdoctoral positions at Delft University of Technology (TU Delft) in Netherlands
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24 Jun 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » 3 D modelling Engineering » Aerospace engineering Engineering
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PhD in Transportation, Environmental Psychology, Behavioural Economics, Computational Social Science, Industrial Ecology, Geography, Urban Studies, or a related field. Demonstrated expertise in choice
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. The ideal candidate has a genuine interest in advancing fundamental methodology for cryogenic electron tomography and enjoys working closely with experimental and computational researchers to advance
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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Join the Veldhorst Group, pioneers in germanium-based quantum computing and simulation. Job description After a successful first hire for this research topic, we are looking for a second
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application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science
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imaging applications. The researcher will work in an interdisciplinary MRI research environment and collaborate closely with researchers in MR physics, engineering, and biomedical imaging. The position
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental