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statistical tools to analyse large multi-omics datasets from several large-scale prospective cohorts addressing important questions in cancer aetiology and prevention. In addition, you will be passionate about
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reproducible data pipelines. You will work with electronic health records, cohort data, and large-scale research datasets to develop pipelines for secure data access, data cleaning, longitudinal harmonisation
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of large-scale datasets from international cohorts and biobanks, including PPMI, UK Biobank, and All of Us, with a focus on designing scalable and reproducible data pipelines. You will work with electronic
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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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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using data from electronic health records, deeply phenotyped cohorts (such as PPMI), large biobanks (UK Biobank, All of Us), and collaborator clinical datasets. You will work closely with collaborators
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of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation modelling to address missing data and uneven data collection across different centres. Second
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wireless and batteryless, near-field communication (NFC)-based electrochemical lateral flow assay (eLFA) digital platform. The delivery of this technology will increase large-scale testing of folic acid