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for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford. The post is only available as full-time. However, we can discuss flexible working hours (e.g. starting and finishing earlier in
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of this position will be based in Oxford, with Dr Will Coulton, and the second 18 months at IPMU, with Dr Leander Thiele. Oxford hosts a large cosmology group with expertise in theoretical, observational, and
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to analyse large-scale administrative datasets. Proficiency with statistical software such as Stata, R, or Python for data management and analysis. Strong written communication skills, including the ability
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utilisation following urgent suspected cancer referral. They will contribute to a Bowel Cancer UK funded project, using large healthcare datasets, such as CPRD, to help inform initiatives aimed at prevention
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clinical data from large cohort studies on immune-mediated inflammatory diseases including psoriasis and rheumatoid arthritis. The PDRA will lead on research across all three objectives, taking first
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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in the transgender and gender diverse population in the Clinical Research Practice Datalink, a large research database of de-identified UK primary care data, as well as other datasets Our Future Health
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Coulton, and the second 18 months at IPMU, with Dr Leander Thiele. Oxford hosts a large cosmology group with expertise in theoretical, observational, and numerical cosmology. The successful candidate will
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools