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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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industry. Our group combines precision experiments, advanced imaging, and modeling to uncover the physics of tin droplets under extreme conditions of laser irradiation. We have established a strong track
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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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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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for Circularity (H4C) need robust tools to navigate the financial complexities of industrial symbiosis. This project aims to bridge financial modelling, AI, simulation, and circular business model innovation
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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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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estimation, sensitivity analysis and uncertainty quantification; implement interpretable, validated computational models using modern simulation and inference toolchains, including MuJoCo, Isaac-based
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation
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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