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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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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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understanding of developmental biology. Candidates must have, or be about to obtain, a PhD in a relevant biological/mathematical discipline, including an understanding of algebraic topology. Please refer to
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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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on the online programme application and supporting documents. Application form Additional documentation Your full online application must include; A 1,500 word PhD research proposal. Times New Roman, Font
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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
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thereafter, for 1 year in the first instance, with the potential for renewal for a further year. The post is part of an EPSRC-funded research programme (PhotoOxyEdit), looking to develop photochemical methods
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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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by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and
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. These studies will include detailed characterisation of molecular weight distributions, degree of crosslinking, thermal-mechanical modelling and microstructural features that influence electrical performance