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tools, and learning environments which can bring significant improvements in mathematics and/or computer science at university education, through a collaborative, reflective, and theory-informed research
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strong multi-disciplinary focus on energy markets, optimisation, game theory, control and machine learning. The EMA section (https://wind.dtu.dk/research/research-divisions/power-and-energy-systems
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ) from 10 different nationalities values diversity and includes experts from a range of
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