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learning, and combinatorial optimization. Doctoral students are expected to be able to publish high-quality papers and develop research prototypes. After the qualification requirements, great emphasis will
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. Methods from probability theory, communication theory, electromagnetics, optimization and machine learning will play an important role. We are ultimately looking to either one of the two broad research
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communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However
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the purpose of developing a model to predict CRUD-composition and stability on the basis of water chemistry and thereby identify optimal conditions. We are looking for a person with a strong background in
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temperature thermal energy storage and integrated systems. The doctoral student will have a broad perspective focusing on technological development, laboratory testing and techno-economic analysis to identify optimal
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coordination and control of multiple variable energy carriers reduce CO₂ emissions while ensuring a stable energy supply? The project will advance reinforcement learning methods and model-based optimization