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and what they mean for the system’s efficiency and safety. You will develop models of AI bidding strategies, analyze strategic interactions using game theory, and design optimization methods to identify
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conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in engineering
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candidate you will contribute to SEEDS , a research and innovation project funded by the European Commission, and a large global expert network under the IEA EBC Annex 96 - Grid Integrated Control
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candidate you will contribute to SEEDS , a research and innovation project funded by the European Commission, and a large global expert network under the IEA EBC Annex 96 - Grid Integrated Control
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, therefore the PhD position provides opportunity to work in this exciting area in collaboration with major industries. This PhD project is part of Center for Climate Robust Electronic Design project funded by
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in this exciting area in collaboration with major industries. This PhD project is part of Center for Climate Robust Electronic Design project funded by Poul Due Jensen’s Foundation, Denmark
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of cell metabolism and physiology, especially in environmental bacteria. Enthusiastic and self-driven, independent thinking and strong social skills. Team player capabilities. Passionate about science and
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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in recruitment. If you find the position interesting but do not think you meet all our requirements, apply anyway—you could be the ideal candidate for us. You must have a two-year master's degree (120
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systematic phases: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept