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properties of skeletal muscle during static and dynamic contractions. The student will also participate in early-stage algorithmic work to model muscle architecture and behavior across contraction types. In
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for behavioural and security properties; efficient algorithms for model checking, learning and synthesis; improved explainability and safety of machine learning models, e.g. by integrating neural and symbolic
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such 6-15 GHz into use and developing the needed radio resource management innovations to unleash its full performance potential. This includes integrated scheduling, link adaption, MIMO adaption
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