17 parallel-computing-numerical-methods Postdoctoral positions at King's College London in United Kingdom
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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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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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to understand the functional requirement for these pathways using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights
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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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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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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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in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
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well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease forward. It will also involve