12 power-systems-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Radboud University
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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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, among others, researchers from Radboud University, Maastricht University, Amsterdam UMC, the University of Amsterdam, Erasmus University Rotterdam, Eindhoven University of Technology, the International
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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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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams
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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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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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violence, decolonial ecologies and gender. We are particularly interested in projects that explore how violence against nature is simultaneously violence against people, with women and other minoritised
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-source scientific software library. You will be part of a larger project at the Uncertainty in Complex Systems lab (PI: Dr Max Hinne) aimed at learning which statistical and/or computational model is most