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and (ii) improving understanding of the switching mechanisms at the molecular level. This opens up unique opportunities in a highly interdisciplinary research environment. The central task of the PhD
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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