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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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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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of Reading, focussed on the development of novel synbiotics for improved gut health. They will join a research group of 5 academics and around 20 PhD students. The main duties and responsibilities will be
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ubiquitylation in cell regulation and human disease, to facilitate the development of drugs to treat diseases caused by abnormalities in phosphorylation, to generate reagents and improve technologies. A key remit
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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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networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware
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network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware network telemetry, and the implementation of new
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at the Yusuf Hamied Department of Chemistry, University of Cambridge to work on the BBSRC grant "A Platform for Identifying GlycoRNA and Identifying Biases in RNA Pulldown". The role is to develop methods
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be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation
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to obtaining an enhanced DBS check, as required for working with children (A) This role offers the flexibility of hybrid working, opportunities for professional development, and the chance to