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motivated PhD candidates that, combining model-based (physics) and data-driven (machine-learning) approaches, will develop innovative, highly accurate and highly efficient solvers for rarefied gas flows
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tunable mechanical properties. You will develop modelling techniques for rational design and optimization of new metamaterial unit cells with switchable mechanical properties, using multiphysics modelling
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of Technology (TU/e) is seeking a bright PhD candidate to setup an autonomous materials discovery lab. The goal of the PhD is to setup a closed-loop formulation discovery lab consisting of robots and
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