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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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program at the University of Luxembourg•Work location: Belval (Luxembourg)•Deadline: 30th June 2025Project description INSPIRATIONAir pollution is continuing to rise. It harms human health, crops and
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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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duties involve supporting computational infrastructure, coordinating with wider spectroscopic project teams and external science users, contributing to documentation and user manuals, and collaborating
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measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. Further information is available
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contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful