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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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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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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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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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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