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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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Prof Yarin Gal. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford. The postholder is expected to conduct
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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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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biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding and
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assist in coordinating aspects of this complex, multi-institutional research programme. With a current PhD/DPhil (or close to completion) in chemistry, biology, or a related field, you will have
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hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant biological discipline. Good communication and documentation skills, and the ability to work effectively as part of a team are essential
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. The post-holder will have the opportunity to teach. Applicants should hold PhD in Astrophysics or a related field. A strong background in Radio interferometry observation and sufficient specialist knowledge
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doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close