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-quality education in a variety of formats. Candidates would enjoy working with large and diverse cohorts of students and encouraging them to fulfil their potential. For an informal discussion about the post
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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London School of Economics and Political Science; | London, England | United Kingdom | about 4 hours ago
more inclusive workplaces. Its Growth and Governance (G&G) Hub is dedicated to measuring and driving progress on race inclusion in large listed companies. The Hub has assembled every annual report
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for RNUopathies, including ReNU syndrome. Based within the Big Data Institute (BDI) and the Institute of Developmental & Regenerative Medicine (IDRM), you will join a multidisciplinary team investigating
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will work closely with Dr David Morris and collaborators to curate and analyse infection phenotype data, integrate large-scale genetic datasets, perform statistical genetic analyses, and contribute
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healthy despite being at high genetic risk of dementia? This project will use cutting-edge genetic and molecular data from large human biobanks to identify molecular factors that help protect against
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other universities, fieldwork planned in 5 countries, and will employ a large team of researchers. Your role would support this fellowship for 0.5 FTE of your time (i.e. 2.5 days per week) A UKRI Future
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project coordinator and research assistant position to support two large projects: 1) a Royal Society funded fellowship: Harnessing island-ocean connections to support ecosystems and people, and 2) a UKRI
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, analysis, interpretation, and reporting of sensitive and complex data. This is a hybrid role with the expectation that you will be in the office at least two days a week. Extract, clean, and prepare large
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable