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the National Centre for Text Mining (NaCTeM), a leading UK research hub for biomedical text mining and natural language processing, and forms part of the BHF CRE. This position focuses on advancing large
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at the cutting edge of AI innovation in medicine. This is an extraordinary opportunity to apply your expertise to large-scale population health datasets, including UK Biobank, clinical trials data, and real-world
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through NIRISS and NIRSpec. With JWST’s large aperture, red wavelengths and extreme depth capabilities, combined with Euclid data for shallower yet wider studies, the postdoc hired in this position will use
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computer. Now, we’re writing the next chapter with Unit M, our new innovation unit designed to unlock the full innovation impact of the University for our city, our region, and the world. Unit M exists
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to reshaping our digital campus, enhancing AI, data and digital services, as well as fostering a culture of excellence befitting a truly global institution. It is the Director – Digital role to be proactive
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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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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 built by Tom Kilburn and Sir Freddie
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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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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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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