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integration of model checking and synthesis with machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. Based
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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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applicable technology-based learning experiences for the Danish and German primary and secondary school. This, with a close cooperation with IPN Leibniz-Institute in Flensburg among other external partners
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