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of molecules is motivated by their rich internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave
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collegiality is at the heart of what we do. The Department’s research structure consists of five Research Groups: Algorithms and Complexity (ACiD) Artificial Intelligence and Human Systems (AIHS) Network
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of turbidity currents in action in the deep-sea, and to develop novel technologies for monitoring these seabed sediment flows. Turbidity currents form the deepest canyons, longest channels and largest sediment
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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long
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including Computational Sciences and Chemistry, and encourages multidisciplinary research for Health and Wellbeing. The Department holds an Athena SWAN Silver award. Athena SWAN is a national initiative that
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programme as part of the collaborative NINEDTP. The Department’s research strategy is built around five themes: Communities and Social Justice; Health and Social Theory; Higher Education and Social
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of the cellular environment, behaviour and immunity. Carbon dioxide is a strategically important research target for crop responses to environmental change, insect-borne disease and public health. However, we know
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to qualifications and routes to develop your career in the University. All staff have dedicated annual time to concentrate on their personal development opportunities. • Lots of support for health and wellbeing
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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long
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migration, incarceration and the criminal justice system, democracy/populism, Artificial Intelligence, integral ecology, war/peace, or the structural response to poverty. (This is an indicative not