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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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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
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or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly
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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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, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data. Research
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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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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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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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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr