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platforms (growth, characterisation, electrochemistry), computational modelling, or AI/automation, depending on your unique background. You will have obtained, or be about to obtain, a PhD (or equivalent) by
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recently submitted your thesis or successfully completed a PhD (or equivalent) in Materials, Chemistry, Engineering or a closely related discipline. Experience in formulation and specialist knowledge in
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The successful candidate will have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full time and available for up
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scientific aims, published as well-documented open source tools for wider adoption. The successful applicant will have a PhD with a significant computational and/or statistical element and will have experience
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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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PDRA’s and PhD researchers. The PDRA will also collaborate closely with non-academic partners for both projects, including national governments, river basin agencies, international agencies and development
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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
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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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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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, contributing to a systems-level understanding of placental biology. Candidates must have, or be about to obtain, a PhD in a relevant biological discipline, including an understanding of placental biology. Please