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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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the ability to manage a large and complex portfolio of work, balancing operational priorities with long-term strategic goals in a fast-evolving health and social care data landscape.A background in
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information. About you: Essential criteria Undergraduate (or conversion) degree in psychology, health data science, health-related or other relevant subject. Outstanding interpersonal and communication skills
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incorporated into models. Your work will help fill this critical gap, improving predictions of how grasslands will respond to future change. Your project will combine large-scale data synthesis, ecological
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subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable
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Low maintenance reliable main bearings for large wind turbines Offshore Wind CDT PhD Research Project Competition Funded UK Students Prof R Dwyer-Joyce, Dr Thawhid Khan, Mr Wooyong Song, Dr Siren
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training state-of-the-art large language models, such as GPT-4 [OpenAI 2023], to generate outputs that are preferable, helpful, and harmless to humans. However, state-of-the-art RLHF methods typically
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at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows the study a large range of particle physics phenomena
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Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is
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Large-Scale Tritium Transport for Commercial Fusion - Safeguards, Non-Proliferation & Export Control (Associate University project at the University of Bristol) The Fusion Engineering Centre