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and data handling practices according to the highest standards. Being responsible for the day-to-day administrative duties and the recruitment of young people as participants, you will have excellent
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are looking
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now
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are correctly set up, managing the project closing list, coding external collaborator invoices, and supporting Senior Grants and Projects officers in collating information for all Audits. You will also be
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brain injury. It also supports work on brain tumours, muscle and nerve disorders. Additionally, the OBB’s historical archive comprises cases of many rare diseases, as well as large cohorts
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of identifiable data and/or biological samples You will work closely with researchers, research support staff and administrators across the University, including University departments, internal ethics committees
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O’Brien’s research groups at the Department of Engineering Science (Central Oxford). The post is fixed term for two years and is funded by the EPSRC. The development of large-scale quantum computers will