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: Using big data to improve cardiovascular prediction, care, and equity. Goals: Develop advanced risk prediction models using EHRs, imaging, and environmental data. Quantify health inequalities and model
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that they support. The post requires experience of conducting recruitment and data collection in large studies and previous experience of working with or supporting people with learning disabilities and/or people
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of progress. We helped usher in the computer age in 1948 with the world’s first stored-program computer “The Baby” and Alan Turing helped shape what would become the foundations of AI right here on campus. Home
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goals. Experience of working as a HR / People Partner in a unionised environment. Demonstrable experience of supporting the successful delivery of change programmes in a large and complex organisation
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This post creates an opportunity to further your career in big data analysis and complex cardiovascular diseases! We are looking for a holder of university degree in computational biology
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Responsibilities, Accountabilities or Duties · Conduct and support research within the STAMPEDE imaging framework. This will involve the collection and management of large clinical data and samples for biomarker
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of Windows, Mac, and Linux devices. We coordinate large-scale change projects, including seasonal refreshes and upgrades, with a focus on continuous improvement, and provide expert guidance and
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We are looking for an ambitious Research Associate who is passionate about generative AI, synthetic data, and in-silico trials to join our multidisciplinary team. You will work with colleagues who
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, you'll work with large-scale multimodal datasets, clinical trials data, and population imaging studies to drive innovation in personalised medicine and in silico trials. If you're passionate about pushing
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The post holder will support a research programme funded by the Shreeve Foundation investigating the causes of pancreatic cancer risk through the analysis of large-scale molecular and