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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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language processing (large language models) to investigate the brain computations supporting planning in humans, and how this can go awry in psychosis. What We Offer As an employer, we genuinely care about our
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glacial processes, and coupled hydrological processes or earth system modelling of terrestrial carbon cycle processes. As well as experience of large dataset collation and analysis, including geospatial
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samples. The postholder will use datasets from a large NIH-funded project based in the US to develop methods for jointly analysing dMRI and PS-OCT data. The post holder will be expected to take an
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candidate will be a member of a large multi-disciplinary team working on UPLiFT’s Physics work package (others include the development of IFE lasers and implosion targets). At plasma conditions such as those
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work involving sensor hardware or un-intrusive methods and be comfortable with handling large amounts of personal and sensitive data. The role requires you to collaborate across disciplines and to work
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targets, by leveraging high-dimensional big data (e.g. electronic health records, multi-omics and phenotypic) from large prospective biobanks including China Kadoorie Biobank (CKB) and UK Biobank (UKB), and
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together with relevant experience; have expertise and experience in survey design, quantitative research methods, and advanced statistical analysis; experience in managing large-scale data collection