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social care, and investigating the use of reasonable adjustments to reduce healthcare inequalities, and a novel Machine Learning workstream to develop an intervention which may be implemented in routine
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states by detailed characterisation of patients during diagnostic and therapeutic procedures through designing and conducting multicentre randomised clinical trials to applying machine learning and
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded (or near completion) in Electrical/Electronic or Computer Engineering. Strong publication
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or Computer Engineering. Strong publication record in machine learning, including in top-tier machine-learning conferences and journals Experience in presenting research results and/or tutorials in top-tier
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following criteria Background in probabilistic machine learning Track record of high-quality research publications in peer reviewed conferences and journals. This is a full time post, and you will be offered
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. To achieve these goals, we develop advanced machine learning methodologies, particularly weakly supervised learning approaches, to analyze and classify imaging and transcriptomics data. Our research emphasizes
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to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF 2014 was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health
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confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Desirable Criteria Experience working with AI or machine learning applications in
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excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme
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eligible to apply for the School Learning and Development Fund for financial support with training and conferences. KCL Reporting Line: Prof Patrick White/Dr. Mariam Molokhia/Dr. Iain Marshall/Prof Josip Car