14 power-electronics "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at Radboud University
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19 Sep 2026 Job Information Organisation/Company Radboud University Research Field Computer science » Modelling tools Computer science » Programming Engineering » Computer engineering Engineering
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/364137/phd-position
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Website https://www.academictransfer.com/en/jobs/363370/phd-position-fatigue-in-motion/… Requirements Specific Requirements You hold an MSc degree in Human Movement Sciences, Neuroscience, Biomedical
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of Curiosity at the Donders Centre for Cognition. Curiosity is a powerful driver of learning, yet we still know relatively little about the neurocognitive mechanisms that support curiosity in children. In
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of Arts, including teaching. Where to apply Website https://www.academictransfer.com/en/jobs/362720/phd-position-at-the-centre-for-… Requirements Specific Requirements You have a Master’s degree in one
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for and writing of your PhD thesis. The other 25% are for training and academic service to the Faculty of Arts, including teaching. Where to apply Website https://www.academictransfer.com/en/jobs/362721/phd
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that ask about the perpetual, colonial and cumulative violences that are perpetrated against the more-than-human world and, from a power-sensitive and eco-feminist perspective, address how both nature and
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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