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that can only properly be understood when tackled globally. The Fellow in Silk Roads Studies will similarly be expected to ‘think big’ and consider the contemporary resonance of their project. Research
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. The project will define new near miss and severe morbidity definitions allowing us to identify electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset
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electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset for the first time. This will allow us to work out the best vital-sign-based early warning score
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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observation tasks, health economics data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we
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data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we anticipate submission of a
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digital infrastructure and transport infrastructure, and the need to provide standard services, including emergency responses, across large geographical areas. The aims of the CARMHRS study are: To improve
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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with experience of project planning, service delivery, and financial management Management of small and large scale projects in a complex environment · Management of staff with complex, multi-layered