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robust IT tools and processes for data collection, analysis, and reporting, ensuring consistently high standards of accuracy. Supporting accreditation processes will be key as you compile critical reports
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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flexible location principles, but there is an expectation that the post may also be required to be on campus on any day of the working week. We are looking to appoint a Data Development Consultant – Project
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Transform how we determine biomolecular structures. This PhD develops generative AI tools that use
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a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history
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extension to other immunotherapy-treated cancers to enable cross-cancer comparison and broader generalisability. The project will leverage two complementary data sources: the TrinetX global research network
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moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications
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in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please visit our website https://perrettlaver.com/privacy-statement/ . Please visit
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 1 month ago
2026. The project. Forty‑two percent of working‑age adults in England struggle to understand everyday health information, creating serious barriers to informed medical decision‑making and patient safety