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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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-based processing. This project will investigate event-driven learning approaches in the context of RL in an event-triggered fashion. Data efficiency will be improved by using meta-learning and pre
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validation in optical wireless communications, sensing systems, or related areas. Skills Essential: C1 Excellent skills in programming, algorithm development, and mathematical modelling C2 Excellent
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of your personality: You have experience with exact and (meta-)heuristic solution methods in the field of Operations Research. You have a Master’s degree in industrial engineering, information systems
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. You will participate in publications/scientific presentations. This is part of your personality: You have experience with exact and (meta-)heuristic solution methods in the field of Operations Research
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research & teaching. You will supervise students. You will participate in publications/scientific presentations. This is part of your personality: You have experience with exact and (meta-)heuristic solution
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. This is part of your personality: You have experience with exact and (meta-)heuristic solution methods in the field of Operations Research. You have a Master’s degree in industrial engineering, information
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learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving and critical thinking. The recruit will be responsible for setting up
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to, and needing to integrate diverse disciplinary outlooks, students will learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving
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learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving and critical thinking. The recruit will be responsible for setting up