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? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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for safe, smart, green, resilient, and inclusive cities, with pilot demonstrations in Rome, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data
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to apply Website https://www.academictransfer.com/en/jobs/354371/phd-position-ambitions-accelera… Requirements Specific Requirements We are searching for a candidate that: (Shortly acquire) a master’s of
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knowledge in practice Proficient in English, preferably Dutch speaking Additional Information Benefits As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier
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with your supervisors, but you can work independently, investigating GaN design and pushing the state-of-the-art. Where to apply Website https://www.academictransfer.com/en/jobs/354326/phd-positions-3x