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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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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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. 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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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
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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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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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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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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our
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Imprinted Diagnostics You will also be part of the expanding multidisciplinary Bioinspired Materials Research Group (6 PhD students, 3 PDRAs and 1 MSc student), led by Prof Marloes Peeters, who is one
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, 500, 600 and 800 instruments, and to cryogenic probes, as necessary); computer programming, mostly in C and Matlab, for data processing; and theoretical analysis, supported by simulation using Matlab