175 phd-computer-artificial-machine-human Postdoctoral positions at University of Oxford
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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for Human Genetics in Oxford. The Tzima research group investigates the role of mechanotransduction in cardiovascular disease and the laboratory is at the cutting edge of developments in in vitro and in vivo
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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cells containing biological components. Find out more about the Langton research group here About you Applicants must hold a PhD in Chemistry, Chemical Biology or a related area (or be close to completion
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and