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Field
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operation of integrated converter-motor systems. Research environment Applications are invited to join the Power Electronics, Machines and Control (PEMC) Research Group at the University of Nottingham. Based
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operation of integrated converter-motor systems. Research environment Applications are invited to join the Power Electronics, Machines and Control (PEMC) Research Group at the University of Nottingham. Based
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systems, you will develop new computational frameworks for data-driven game-theoretic control in large-scale multi-agent systems. These methods will contribute to applications such as multi-actor power
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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on solving challenges at the interface of Synthetic Biology, Control Engineering, AI, and Robotics, and their application to global challenges across biotechnology. The approaches taken will depend
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will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical
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to enable the demonstration of optically switched network for AI training computing clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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webpage: CoordQ - Universitetet i Sørøst-Norge Are you interested in “Distributed Optimization and Control of Reactive Power considering grid stability in the Nordic Power System", and want to engage in
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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained