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transmissions according to a Gate Control List (GCL), a cyclic schedule that opens and closes transmission gates in synchronization with a global clock. In this way, the network behaves as a carefully
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the delivery of wider co-benefits and minimizing costs. The proposed multi-objective approach, based on optimization and machine learning algorithms, is used for defining optimal configurations, including water
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for mobile/tablet app: Designing and implementing a user-friendly interface Improving usability and workflow automation Integrating existing algorithms into a stable application. 3/ System integration
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The candidate must have a strong background in algorithmics, optimization, and data science. In particular: Mathematical modelling: ability to formalize real-world personnel scheduling problems, including
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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Apply by sending an email directly to the supervisor. The application will include: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ including the list