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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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We are seeking a motivated PhD student to use single-molecule techniques and computational tools to explore molecular interactions and apply them for therapeutic applications. Job description We
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The Faculty of Engineering, Department Mechanica van materialen en constructies, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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The Faculty of Engineering, Department Architectural Engineering, Research Group Architectural Engineering Sciences is looking for a PhD-student with a doctoral grant. More concretely your work
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consumption ecosystems? Job description If this question sparks your interest and you are motivated to pursue a PhD in circular consumption niches and the transition to circular consumption, you might be our
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly imbedded in a physics environment, but the candidate strongly interacts with partners in applied physics, applied
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? Job description If this question sparks your interest and you are motivated to pursue a PhD in circular consumption niches and the transition to circular consumption, you might be our new colleague
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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increasing pressure to minimise global warming impacts over the building’s new life cycle. As a PhD researcher within the Horizon Europe project ReEnsemble, you will investigate how decisions about adaptive