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Job description The Delft University of Technology is hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently
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. However, when interest is rather in the behavior of the system during extreme events, for example during floods in a river network or crashes of the stock market, current approaches for structural causal
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-world environments inevitably face noisy data, distribution shifts, and situations their training never anticipated. Existing machine learning research focuses on limiting the impact of such disturbances
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on the intersection of learning theory, PDEs, and systems & control, likely using RKHSs (or similar function spaces), Koopman operators, and neural networks to study interesting classes of controlled PDEs, develop
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Take on the challenge of investigating cryogenic two-phase flows to enable reliable hydrogen distribution and sustainable aviation, as a PhD candidate at TU Delft. Job description Hydrogen is one
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analyses of adaptation effectiveness, avoided economic losses and damages, and distributional impacts across society. By applying household survey data from different European cases, we can advance the
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scalable use of second-life batteries in high-power DC charging networks. This PhD is funded by Holland High Tech and ABB Delft. The research in the Department of Electrical Sustainable Energy is inspired by
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storage (electric vehicles) in DC networks and systems and future DC transmission grids. The group is currently active in applications such as Direct Current distribution and transmission grids and
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far from straightforward. To illustrate, the benefits of urban greenspaces are typically not evenly distributed among urban populations, often amplified by historical disinvestment in marginalised
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-efficient wireless systems, distributed sensing, and embedded intelligence. The position is part of the Dutch Research Council (NWO) project SMILE, which aims to develop small embedded platforms that allow