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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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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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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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staff networks and resources to support your personal and professional wellbeing . At Imperial, we highly value our postdocs and are committed to supporting your personal and professional development
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highly value our postdocs and are committed to supporting your personal and professional development. The Early Career Researcher Institute (ECRI) serves as a central hub, offering a wide range of
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highly value our postdocs and are committed to supporting your personal and professional development. The Early Career Researcher Institute (ECRI) serves as a central hub, offering a wide range of
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October 2024, ECRI brought together the former Graduate School and Postdoc and Fellows Development Centre forming a single institute for the support of all early career researchers (postgraduate research