110 computational-physics "https:" "https:" "https:" "https:" "IFM" positions at Imperial College London
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high-quality programme of research and teaching activities. Candidates will be considered from across the breadth of the field and will also be expected to collaborate across other disciplines. A strong
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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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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of Brain Sciences, 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
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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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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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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