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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a
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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research
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temperature within the engine environment. The aim of the proposed research is to develop modern primary atomisation models which better capture the atomisation physics associated with modern aerospace airblast
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Paediatric services, including KCH), and age- and gender-matched healthy controls. Parts 2 and 3 are under development. Part 2 will involve a targeted neuroimaging (EEG and/or fMRI) intervention study with a
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September 2026. The PhD will characterise the consequences of childhood encephalitis relative to acquired brain injuries & develop training to support understanding. Encephalitis is inflammation or swelling
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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lead to transformational developments for the chemical industry and associated energy technologies. This project, which is funded by the Royal Academy of Engineering, will involve the selection
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance