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in at any time. Background The School of Mathematics welcomes applications for a research fellowship in statistics to work on the UKRI Future Leaders Fellowship project ‘Computational Statistics
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Summary Work within the PRE-EMPT programme grant and its team of co-applicants Operate within area of specialism (implementation science/behaviour change/maternal health) Analyse and interpret data and
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excellent research in AI applications, which enable greater use of renewable energy into the UK energy systems. Role Summary This is a part time role, 0.1FTE. The activities of this role will support
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emergencies PCOS SEVa – a national programme addressing variation in the quality of care for polycystic ovary syndrome (PCOS) Role Summary Work within specified research grants and contribute to writing bids
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will lead a project funded by the Grace Kelly Cancer Childhood Trust to test the performance of this tool, further develop and improve the tool, increase the number and range of tumours the programme
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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the review of the Lancet Countdown’s indicator framework for WG5. Contribute to, and lead, further academic publications and funding applications. Support regional WG5 teams in the incorporation
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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undertaking a specified range of activities within an established research programme and/or specific research project. The successful candidate will contribute to the project "Higher-Order Monad-based