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of equilibrium dynamics using tensor networks to solve partial differential equations, with applications to many-body quantum systems, as well as computational fluid dynamics and plasma dynamics. The successful
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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, consolidate and extend ongoing research, and establish a schools health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme
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and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Dr Seaborne’s group
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to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Dr Seaborne’s group investigates the molecular and cellular mechanisms
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health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme, conducting comparative analyses with other regional and
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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modelling and precision functional mapping with dense fMRI sampling to study the developmental trajectories of brain circuits implicated in compulsivity, and to identify the network topologies supporting