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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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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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of satellite data for monitoring inland and coastal water quality across Scotland. We anticipate that the successful candidate will spend around one third of their time on the Forth-ERA project. We are looking
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of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent
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About us Our Big Data in Health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group conducting innovative research to address
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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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assessments in these studies involved large, high quality, multi-informant and multi-method assessment batteries including diagnostic interviews, direct observation tasks, health economics data and a large
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in 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