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The Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem
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also contribute to the development of advanced non-invasive cardiac mapping approaches, involving multi-signal acquisition, signal processing and inverse modelling. The role is based at the Image X
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synthesis, to inform evidence-based recommendations for postgraduate programme design and curriculum development in literary translation. Under the supervision of the Principal Investigator, the Research
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collaborators, for a project focused on the development of a large external research grant application titled Gen(d)erations: Past stories, present perspectives and future approaches for trans and non-binary
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health policy development. These two positions will be offered as follows: Position 1: Full-time, fixed-term appointment for 3 years This Postdoctoral Research Fellow requires epidemiological methods
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research is expected to lead to training to computed tomography and computational modelling and the award of an MD or PhD at Queen Mary University of London and support the development of a future career in
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intelligence platforms, enabling real-time monitoring, prognostics, and optimisation of battery systems deployed in battery-powered energy systems. System development and securing external funding and publishing
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experimental studies. You will also contribute to research publications, collaborative research projects, and the development of future research proposals within a multidisciplinary research environment spanning
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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of high value impact activity in knowledge transfer and enterprise that is of manifest benefit to CHASM and the University and: (a) makes a significant contribution to policy development at national and