18 postdoctoral-computer-science "Queen Mary University of London" Postdoctoral positions in Uk
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(Queen Mary University of London, University of Cambridge, University College London, NHS Blood and Transplant) and international sites (including VU Amsterdam, KU Leuvan, MRC Gambia, Apollo Hospitals
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journals. About the School/Department/Institute/Project The Faculty of Medicine and Dentistry (FMD) is a significant constituent of Queen Mary University of London. It is organised into 6 separate Institutes
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Europe and widely considered to be at the forefront of contemporary trauma care. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously
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at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides
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. The Institute aims to deliver excellence in all aspects of research, teaching and clinical service. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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About the Role Applications are invited for one Postdoctoral Research Associate with expertise in structural biology to join the research group of Aravindan Ilangovan at Queen Mary University
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techniques will be used, including Large Language Models (LLMs). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable
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. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and improved
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. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and improved
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing