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identifying real households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models
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we invite you to apply for this PhD position on Curiosity in the Classroom at Radboud University. Curiosity is a powerful driver of learning, yet we still know relatively little about how curiosity
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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bodies often most affected by it. We welcome proposals that ask about the perpetual, colonial and cumulative violences that are perpetrated against the more-than-human world and, from a power-sensitive and
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, stress accumulation and future functioning? Can wearable-based monitoring contribute to better timing, support and reflection around situations involving imminent coercion? Under what conditions might
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invite you to apply for this PhD position on Curiosity in the Classroom at Radboud University. Curiosity is a powerful driver of learning, yet we still know relatively little about how curiosity unfolds in
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, stress accumulation and future functioning? Can wearable-based monitoring contribute to better timing, support and reflection around situations involving imminent coercion? Under what conditions might