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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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research with autistic people or people with cancer and/or long-term health conditions Working with minoritised or seldom-heard groups Qualitative data collection and analysis Dissemination of research
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of behavioural and pupillometry data. The ideal candidate will have experience of experiment design in EyeLink, and/or collecting eye tracking and pupillometry data. You will also be responsible for liaising with
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also offer some opportunities to actively contribute to research design, data analysis, presentations, and public engagement outputs. To support professional growth, the Research Assistant will receive
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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downloading searches, screening abstracts and full texts, data extraction ¿ Recruiting participants and collecting qualitative interview data ¿ Coding anonymised transcripts ¿ Working with members of the public
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the Department of Health Data Science (HDS), which is part of the Institute of Population Health (IPH) at the University of Liverpool. This is an exciting opportunity for an experienced health economic modeller
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be able to start on 6 October 2025 with relevant Rights to Work. The post is fixed term until 31 May 2026, with the potential for extension if funding is available. For more information: Professor