106 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Imperial College London
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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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, 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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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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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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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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Imperial College London | Belfast International Airport, Northern Ireland | United Kingdom | 9 days ago
. This is a key role combining strategic partnership development, regulatory expertise, and programme leadership. You will work at senior levels across Imperial, advising leadership on international mobility
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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
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programme primarily in anatomy, emerging preservation models of clinical education. An interest in fostering interdisciplinary research would be particularly welcome, especially where this complements other