127 parallel-computing-numerical-methods-"https:" Postdoctoral positions at University of Oxford
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The Department of Biology is seeking to recruit a Postdoctoral Research Associate for 24 months. This post is financially supported by the UKRI through the Frontier Guarantee Programme to Dr Jani R
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods
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Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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Modernising Medical Microbiology (MMM) unit at the University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational
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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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and in-vivo germ-free methods. In addition to research, the post holder will provide guidance to less experienced members of the research group. The post-holder should hold, or be close to completion
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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cell sampling and biobanking methods for endangered species. This work will support global conservation efforts at a time when over one million species face extinction. The post holder will be involved
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advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID:183240. Candidates who wish to be considered for both