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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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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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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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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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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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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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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
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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Maiden Labs, the researcher will be part of the cross- disciplinary Mtb Grand Challenge Team. The researcher will analyze large bacterial genome collections, infer protein structures and identify and
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associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods