191 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Oxford
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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Planetary Physics (AOPP) sub-department of the department of Physics, at the University of Oxford. The post will address a significant problem in climate forecasting known as the Signal-to-Noise Paradox (SNP
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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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We are seeking a talented and motivated Postdoctoral Research Assistant to contribute to two research projects: • Caring relationalities, responsiveness and responsibilities in the post
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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activities. This involves small scale project management including interacting with collaborators, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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culture and organoids to ensure data is clinically relevant. Our overarching aim is to utilise these techniques to identify therapeutic targets to which we can generate effective treatments. The post would
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of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
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a 3-year, fixed-term position, funded by a research grant from the UK Engineering and Physical Sciences Research Council. The starting date of this position is flexible with an earliest start date