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or closely related field (statistics, physics, biomedical engineering). - Experience communicating with multidisciplinary researchers. - Practical experience with large-scale real-world time-series data
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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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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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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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‑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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against undesirable behaviours in Large Language Models (LLMs) and Text-to-Image Diffusion Models (T2Is) towards reliable and responsible human-centred AI systems. NeSyDebates aims to focus on requirements
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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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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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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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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC