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Field
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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This post could be considered as a secondment opportunity. About the role The Bodleian Libraries are seeking t to appoint a researcher to join the Medieval Libraries of Great Britain project, funded
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for particular pathogens, UKHSA also has also invested in national “syndromic surveillance” systems (managed by the UKHSA Real-time Syndromic Surveillance Team) that collect information on symptoms reported daily
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opportunity focuses on advancing the field of large-scale additive manufacturing, utilising metal wire as the feedstock and electric arc as the heat source. The project aims to enhance our understanding
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
technical areas like digital twin development, machine learning, and system optimisation, to transferable skills such as communication, project management, and presenting complex ideas clearly. The real-world
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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at LJMU is pleased to offer a Research Assistant role in the UK-South Korea Collaborative R&D project, AMOS (AI-powered industrial asset management and energy optimisations system) funded by Innovate UK
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are seeking a motivated research assistant to join our team working on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through