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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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research objectives and proposals for own and/or collaborative research area. • Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international
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workflow that speeds up and automates material selection and object design, such that 3D printing can be more readily adopted by industry. Our ambition is to realise highly functional, smart products with
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. research builds upon recent advancements in multi-agentic AI systems. Processing and integrating multiple data modalities will also be key to the research objective of developing dynamic and intelligent
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, equating to around 4.8 million train movements per day—a 9% increase on the previous year. This growth highlights the critical role of rail in national mobility and the mounting pressure on infrastructure
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and toxicity performance make them strong candidates for safety‑critical applications in aerospace, rail, automotive and battery technologies. However, current PFA systems suffer from brittleness
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applications in aerospace, rail, automotive and battery technologies. However, current PFA systems suffer from brittleness, moisture‑related defects and narrow processing windows, limiting their wider adoption
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responsibilities include: To take the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. To act
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environment in a research support or finance role? Do you want to join a team that is committed to supporting the strategic objectives and research culture of the Faculty of Medicine and Health Sciences? We
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be in process of submission) • Be available to take up the post from the 1st April 2026. • Have a track record in natural product chemistry. · Have excellent organisational, communication and team