32 systems-science-"https:" "https:" "https:" "https:" "UCL" research jobs at Imperial College London
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This post of Research Assistant / Associate is to conduct world-leading research on Neuro-Symbolic Debates for Safeguarded Generative AI This post of Research Assistant (pre-doctoral) or Research
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communication skills and enthusiasm for advancing fundamental turbulence research. Research Associate: Hold a PhD in Fluid Mechanics, Engineering, Applied Mathematics or a closely related discipline, or
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of Brain Sciences, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5
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the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. If you
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Institute at Imperial , which is hosted in the Department of Brain Sciences. This is an excellent opportunity to work in an area of rapid development, alongside colleagues who are working on novel projects
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engineering and downstream analytical workflows. While experience in machine learning is welcome, you should have a background in strong data engineering, data management, and analytical skills, and sufficient
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Cardiac diffusion tensor imaging (cDTI) is uniquely able to investigate cardiac microstructure noninvasively. It is providing us with a new understanding of microscopic changes behind heart diseases
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and to help attract external research funding. You should hold a PhD in Cancer Biology and Cancer Immunology or a closely related discipline. You should have knowledge of cancer immunology and
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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for sponsors and contribute to publications; present work at internal meetings, conferences and workshops; provide guidance to staff and students and contribute to grant bids. - MSc in Computer Science