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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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, the application of advanced model algorithms, and secure linkage to health data assets. You must have exceptional analytical and critical thinking about scientific problems, deep knowledge and intuition
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existing exposure models. Important challenges are the integration of diverse and complex national geospatial data, the application of advanced environmental model algorithms, and secure linkage to health