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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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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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