10 computational-complexity-"Prof"-"Prof" Postdoctoral research jobs at King's College London
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disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit
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slavery and war. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
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) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research activities and a wide-ranging portfolio of education programmes. Celebrating diversity and
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-I complexes * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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of Developmental Neurobiology and King’s College London. Brain Health in Gen2020 is a joint preclinical and clinical research programme that aims to map the fetal origins of childhood brain health and the impact of
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for teaching and research at the Guy’s and Waterloo Campuses have been greatly enhanced since 1998 through a capital investment programme of approximately £200 million, which has provided state-of-the-art
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical