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London School of Economics and Political Science; | London, England | United Kingdom | about 2 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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exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters
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Invention Agency (ARIA), working at the intersection of Isabelle/HOL, the seL4 verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally-verified
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collapse — working with Earth observation data and CMIP6 climate model output to develop and test statistical and machine-learning approaches for detecting precursors of abrupt change in these systems
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
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ability to translate complex data into accessible, user-friendly visualisations. Desirable Requirements MSc or PhD in Data Science, Geoinformatics, Computer Science, AI, or a closely related quantitative
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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Specification A PhD relevant to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Fluency in