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reinforcement learning (RL) strategies to teach NMS models to execute a broad repertoire of movemets in presence of external disturbances. Info . Simulation-to-real-world transfer, where NMS model control
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation
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Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal
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simulate ultra-low-power energy-harvesting and power-management ICs using CMOS technologies. Develop novel rectifier and MPPT architectures optimized for mechanical energy sources. Implement, tape out, and
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proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m or even higher
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musculoskeletal geometries. Info . Novel reinforcement learning (RL) strategies to teach NMS models to execute a broad repertoire of movemets in presence of external disturbances. Info . Simulation-to-real-world
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are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words
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synthesis and assembly of concrete PCMs. RecyWax+ offers a PhD position for molecular-dynamics simulations of novel PCM systems for thermal storage. Recywax+ is supported within the Dutch Research Council NWO
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to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD simulations. Job
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part of the NWO-M 2024 research project “Real Fake: How Highly Immersive Disinformation Affects What People Believe”. The project investigates how people respond to immersive disinformation: highly