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Candidate will be educated to PhD level or have equivalent experience. They will have experience and expertise in conducting mental health research including data collection and analysis, and publication
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serve both as high-dimensional generalisations for well-known phenomena in random graphs and stochastic geometry, and as means to develop insight into statistical and computational challenges in
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investigate the interlinked risks of climate change, coastal flooding and erosion, and the UK’s historic waste legacy to develop coastal community and ecosystem resilience. Please see this link for more details
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for Combinatorics, Algebra & Number Theory, the Centre for Geometry, Analysis and Gravitation, the Centre for Dynamical Systems, Statistical Physics and Complex Systems, and the Centre for Mathematical Education. The
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/academic delivery partnership by the National Institute for Health and Care Research (NIHR). It is part of a pathway to develop a new generation of treatments to combat musculoskeletal disease which can be
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analyst to develop models to predict dental disease outcomes from structured and unstructured patient electronic medical and dental records to lead and proactively support the organisation to deliver
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the disease process demonstrates the importance of studies aiming to understand the genetic architecture and underlying mechanisms of HCM susceptibility in order to develop better tests for early identification
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organic geochemistry groups in Imperial College London, Natural History Museum London, and NASA Johnson Space Center and University of Alberta in the US. They are supported and encouraged to develop
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to assess the correctness of systems. However, formal models are usually built by humans, and as such can be error-prone and inaccurate. The CLeVer project aims to: develop a novel verification framework that