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, circuit, and systems levels. We are particularly interested in applicants with expertise in rodent in vivo neurophysiology and/or an established interest in sleep or circadian biology. These full-time
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, circuit, and systems levels. We are particularly interested in applicants with expertise in rodent in vivo neurophysiology and/or an established interest in sleep or circadian biology. These full-time
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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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polymers to undertake research in the group of Dr Ashok Keerthi at the Department of Chemistry, University of Manchester. Keerthi’s research group focuses on synthetic engineering of molecular architectures
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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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of the catalytic and ion transport properties of new 2D materials. The successful candidate should have already submitted their PhD dissertation in Physics, Chemistry, Material Science or related discipline
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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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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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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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Background This role is central to developing a point-of-care blood test device for pre-hospital diagnostics. Based in the Department of Chemical Engineering at the University of Manchester, you