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Science and Engineering, Physics, Chemistry, or a closely related discipline. You have a strong expertise in atomistic and molecular simulation techniques (density functional theory, molecular dynamics, ab
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Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate materials for sustainable
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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
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GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26. Since TU Delft will be the coordinator of the project, a key responsibility of the Postdoc will to support the
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Are you eager to perform quantum simulations in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics
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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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? As a Postdoc at TU Delft, you will tackle these challenges by developing integrated sensor and readout IC technology for flexible electronic skin, or Smart Skin. You will design, simulate and lay out
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1 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Cybernetics Computer science » Informatics Psychological sciences