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the following areas: (1) cryptography, (2) Privacy-enhancing technologies, such as FL, (3) mathematics (including number theory and game theory), (4) machine learning, and (4) computer programming in C++, Java
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with a strong background in applied mathematics, control theory and/or optimization to apply for a fully funded 4-year PhD position in the Smart Manufacturing Systems (SMS) group at the Engineering and
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effectively with such long-term futures. CAMELOT investigates the capacities that enable individuals, groups, and institutions to think about and govern for the long term. The project develops new theory
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of operation for symmetric-key cryptography, including, but not limited to, message authentication codes, pseudorandom functions, encryption schemes, deck functions, hash functions, and hash-based signatures
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition
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analysis and extreme value theory, as part of the NWO-funded project “Seeing beyond the study duration: extreme value theory for long term survival and cure chances”. This project will develop statistical
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, informal/formal training, vocational or professional development) Conduct qualitative empirical research grounded in relevant theory to inform, for example, ethical frameworks (or similar) in policy
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, Communications Engineering, or a related field. Strong knowledge of Information Theory, in particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in