679 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Oxford
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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reliability of data • at all time, including either developing or liaising with others to use chemometrics, ML/AI algorithms and/or multivariate analysis. • Manage your own research activities
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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, experience in bioinformatics, such as developing computational pipelines or applying advanced machine learning algorithms, and supervising student research would be desirable. Applications for this vacancy
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. The purpose is to develop the image of the College as a community which offers a stimulating intellectual environment with a distinctive and inclusive programme of enjoyable events and to burnish its identity
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to promote good fellowship amongst medical alumni and to develop, foster and maintain association between medical alumni and the University. The Alumni Engagement Executive (Medicine) will lead on the
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), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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, developing and maintaining SOPs, and collaborating with the Programming and Development team to build and support study databases using EDC systems such as REDCap. This is a varied and dynamic role within a
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed