129 computational-physics "https:" "https:" "https:" "https:" "IFM" "IFM" positions at Imperial College London
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This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
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The Julia Anderson Training Programme provides individuals at an early stage of their career with hands-on experience working on projects or activities at the Institute of Global Health Innovation
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including dedicated support with navigating your career and managing research as well as a transparent promotion process. Sector-leading salary and remuneration package (including 39 days off a year and
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and provide guidance to staff and students. You should hold a PhD (or equivalent) in biochemistry, physics, materials or chemistry with detailed training in X-ray crystallography. You have advanced
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: structured environments, such as the synthetic cells; environments with competing interaction partners; and systems with hybrid RNA-DNA duplexes. You should have a degree in a subject related to physical
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team whose interdisciplinary research ranks as one of the global premier academic departments of surgery. You will be expected to lead an academic programme in Colorectal Surgery. The programme would be
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, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5’ inhibitor (similar
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in
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these into clear, actionable recommendations to programme/project boards as well as Operations and Infrastructure Committee. You will work closely with colleagues in the Portfolio team to evidence and drive data