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This post creates an opportunity to further your career in big data analysis and complex cardiovascular diseases! We are looking for a holder of university degree in computational biology
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the centre. Successful applicants will have (or be about to obtain) a PhD in computational biology or computer science, with knowledge of multimodal spatial omics data integration and machine learning
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Applicants are invited for the above vacancy in the Division of Informatics, Imaging and Data Sciences, University of Manchester. You will join the Division and take responsibility for an area of
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CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
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of progress. We helped usher in the computer age in 1948 with the world’s first stored-program computer “The Baby” and Alan Turing helped shape what would become the foundations of AI right here on campus. Home
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engage and influence stakeholders across diverse disciplines. Not essential but desirable: Higher degree in AI, computer science, or related field (or equivalent experience). Familiarity with higher
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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materials • AI, data and advanced computing We seek to employ an Application Scientist with expertise in the materials science of one of the following: sustainable polymers, nanomaterials, data analytics
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transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets