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hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently emerged as a new learning paradigm in AI. These models learn
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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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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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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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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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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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compared to "classical" on-body sensors - design techniques for intra-oral medical sensors are much more stringent than for on-body sensors. For reference please read the following article https://dl.acm.org