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The National X-ray Computed Tomography (NXCT) is the National Research Facility for lab-based X-ray computed tomography . We bring together world-leading capability in lab-based XCT from
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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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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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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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/SIMULINK. The research is part of a project to investigate future network performance funded by National Grid Electricity Transmission through the Network Innovation Allowance. You should have a PhD or
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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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atlases along with computational models to characterise the effect of exposures on different tissues in humans and model systems. You will have a PhD with a significant computational and/or statistical
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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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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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, 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