13 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at King's College London
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
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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 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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developed playful, creative and inclusive methods for working with neurodivergent children and their families, and conducted the bulk of data collection. The primary role of the PDRA is to support the design
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, the PDRA will take on responsibilities for year-two of the 24-month Sensory Lives study. In year one (January-December 2025), the team developed playful, creative and inclusive methods for working with
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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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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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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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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