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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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crystal resins. Additionally, you will develop new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near
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biomedical sciences focused on cell motility and the cytoskeleton, muscle signalling, stem cells and developmental biology. About the role Manipulating a morphogen in time and space A morphogen is a special
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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a Medical Research Council (MRC) award. This is an exciting opportunity to contribute to an innovative project focused on developing state-of-the-art, AI-powered diagnostic and prognostic tools
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focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include