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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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discoveries. Manchester’s industrial and cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine
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, the ability to design and implement effective irrigation investments is greatly limited by a lack of data on the current extent of irrigation and how irrigated areas have responded to past investments
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, Professional Services, and Faculties. Handle complex and sensitive matters with professionalism, ensuring compliance with Information Governance, Data Protection, Equality and Diversity, and Health and Safety
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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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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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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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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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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