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to combine structural biology with the latest advances in computational protein science, shaping ambitious programmes that bridge fundamental discovery with translational application. The postholder will join
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or their equivalent in the Global South (defined for present purposes as countries on the current OECD ‘DAC’ list .) Having made successful appointments in the past two years in the life sciences and in the social
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, Women's and Reproductive Health, Population Health, Global Health, Cardiovascular Science, Clinical Trials and Health Informatics, in a unique grouping that spans the life-course. Comprehensive Clinical
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our programme of technology assessment for the National Institute for Health and Care Excellence (NICE). The successful candidate will have a research profile focused on health technology assessment and
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. The CMAC Hub has a large and vibrant programme with key Industry partners, including AZ, Chiesi, Lilly, Pfizer, Roche, Sanofi, Takeda and UCB, with a broad range of technology companies. The Hub also
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role provides the opportunity to combine structural biology with the latest advances in computational protein science, shaping ambitious programmes that bridge fundamental discovery with translational
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Full Time Fixed Term for 24 months Applications are invited for Research Fellow position within the School of Electronics and Computer Science at the University of Southampton. The work will involve
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successful candidate will: Hold a PhD in Computer Science or related topic (essential) Have proficiency in analysing large data sets (essential), including ideally: social media data (desirable) work on online
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of Materials, Computational Chemistry, Theoretical Nanoscience or a closely related field), with a strong A level (or equivalent) in Physics, Chemistry or Engineering. A track record of publication in high
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice