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the deployment of machine learning models. This position is within the UK DRI Care Research and Technology Centre at Imperial College London, which has been established to address a medical research area of
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Standard for Support of Accredited CPD Activities, Canadian College of Family Physicians’ Mainpro+ Standards and the Royal College of Physician and Surgeons' MOC Standards. Organizational Status
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, research staff, fellows and medical students, community health professionals, industry, PGME office, and the Royal College of Physicians and Surgeons of Canada (RCPSC). Work Performed - Coordinates
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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objectives. Program Operations Responsible for overseeing and managing all operational aspects of the program, including rotation schedules for residents in keeping with the requirements of the Royal College
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Zero Carbon Mobility (INFUZE) is a major £7.8m five year research grant funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and the Royal
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disease. This will involve data-driven feature extraction and the training and optimization of various machine learning models. The research will focus on analysing data from deeply phenotyped cohorts
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mechanics code capable of modelling arbitrary configurations. The project will investigate the possibility of using AI and machine learning in shear band modelling, developing a deep insight in which
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Imperial College London and the Universities of Bristol, Cambridge and Durham. The vision of the Hub is to develop the theoretical foundations of collective intelligence, including security and privacy
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. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience