9 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Imperial College London in United Kingdom
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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both the algorithms for robot co-design, and the real-world evaluation of the designs that emerge. You will investigate evolutionary algorithms to explore creative new hand designs, and reinforcement
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both the algorithms for robot co-design, and the real-world evaluation of the designs that emerge, as well as providing your own research contributions. Your specific role will vary depending on project
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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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to the future upgrade of the CMS experiment. In particular, you will take a leading role in the development of the upgraded Tracker backend and Level-1 Trigger systems. Your focus will be algorithm development
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to adapt to an evolving environment and to work in teams, both as the leader or as a member In addition, it would be desirable if you had: Experience with design and development of distributed computing
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modelling, graph theory, probability calculus, optimal transport, optimization and feedback control, machine learning, and a knowledge of distributed ledger technologies. A track record of publication in
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with queries on expenditure on claims with corroborating evidence. To coordinate and distribute financial reports of the group’s research portfolio, budgets and accounts, and take action where necessary
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of communication systems, coding theory, information theory, distributed learning, reinforcement learning, and modern deep learning architectures is desired. You are expected to actively write and submit