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Field
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the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward mobility ; racial disparities ; the role of neighborhoods , social
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of gender, political communication and “everyday sexism” Analysing and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co
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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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internationally recognized leader in the science of economic mobility and in the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward
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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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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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complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert. Please note that this post may be
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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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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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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in