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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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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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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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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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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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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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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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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