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research on Responsible AI, foundation models and multimodal Large Language Models for mental health applications. · Develop and evaluate trustworthy AI methods, including uncertainty estimation and bias
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Computational and quantitative modelling These converging methods allow us to trace exploration moment by moment, linking behavioural organisation to environmental complexity and neural dynamics. This post will
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PhD level (or nearing completion / submission) in a related subject area or relevant industrial experience. · Have expertise in Large Language Models, Natural Language Processing, Machine Learning
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, environmental and ecological management; and the analysis, modelling and visualisation of complex and diverse datasets to support stakeholder engagement and decision-making. Informal enquiries are welcome and can
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advanced analytics, structural intelligence, large language models, and a metaverse‑style interactive environment. You will play a central, leading role in building the software, decision‑making and
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research project to explore the potential of NLP for real-world applications, as well as to enhance the understanding of NLP technology and language models. The post holder will contribute to the overall
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, ensuring effective resource allocation and robust governance. Leading and empowering multidisciplinary teams, developing talent, embedding new ways of working, and modelling our institutional values. Acting
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is a massive unmet medical need. Your role in the project will be to contribute to the development of the microscope control and data acquisition software and post-acquisition data analysis
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premises to develop scalable models for research delivery in the community - Work closely with academic partners and research networks to reduce barriers to commercial and academic research participation