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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing
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the successful applicant will join “JUST-Systems”, which is a £5.6 million research programme, funded by the UKRI. JUST-Systems is a multidisciplinary research project with an inclusive environment
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patients with hearing disorders. You will join a collaborative environment where your technical expertise in computer vision will contribute to clinical applications. Our team are now expanding our work
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applicant will be supported in conducting quantitative research (e.g. multinational surveys, online experiments, analysis of existing data sets, computational textual analysis, etc) in this area of research
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You