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. Emilio Martinez-Paneda (email: emilio.martinez-paneda@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before
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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 have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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, in the Department of Biology and Ineos Oxford Institute, based in the new Life and Mind Building. More information on the research environments can be found at: https://sheppardlab.wordpress.com/ https
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to determine statistical occurrence of different crystallographic defects. Processing of the multimodal data will allow the appointee to correlate statistics on defects identified at the atomic level with
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COPI, for five cities in Brazil, Canada, South Africa, Spain, and Japan. Responsibilities will include working with our international partners to prepare data requirements for the model, run analyses and
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and pre-clinical studies into clinical trials Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the
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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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and effectively. Informal enquiries may be addressed to david.howey@eng.ox.ac.uk and jack.umenberger@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass