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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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based on real load models together with privacy-preserving machine learning methods. The proposed methods will be demonstrated at Dansmästaren, a test bed for research on smart EV charging and energy
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is broad, we are looking for candidates with interest on machine-learning solutions, instrumentation, mine tailing characterization and lithospheric probing of the earth’s mineral systems to unravel
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