23 linked-data "https:" "https:" "https:" "https:" "https:" "Princeton" Postdoctoral positions at King's College London
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comparable linked healthcare datasets (e.g. HES, CPRD, UK Biobank, SAIL, OpenSAFELY, or Mental Health Services Data Set). Advanced quantitative analysis skills, including multivariable regression
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before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for
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& Neuroscience (IoPPN), under the supervision of Jacqueline Phillips Owen, Consultant Child and Adolescent Psychiatrist, Senior Lecturer and Lead for the Maudsley Education Consultation Service ( https
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, ultimately, to identify novel therapeutic targets. To learn more about our research and collaborations, visit https://zebrafishucl.org/tuschl About The Role This is a postdoctoral research assistant
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research ( https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we
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to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news
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, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in
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: https://www.kcl.ac.uk/research/pavri-group . The lab is located within the School of Immunology & Microbial Sciences within the Faculty of Life Sciences & Medicine, one of the UK's largest biomedical
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throughout their involvement. The role also involves maintaining accurate and timely data entry into clinical and research databases, and liaising with a wide range of professionals including scientists
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capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while addressing the challenges of limited patient-specific data and uncertainty in model