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mental status examinations and neuroimaging scans, which are often inaccurate. There is an urgent need for cost-effective and accurate diagnostic tools for early detection of neurodegenerative diseases
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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modalities and populations. This project (SpyGlass) will investigate machine learning methods, particularly generative and foundation models, to discover robust correlation structures in cross-modal datasets
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
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resilient to future change. This project will evaluate potential future land use configurations in several countries, exploring where and how biomass production can support multiple objectives for a
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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of seaways by a broader spectrum of people than previously appreciated. Welsh connections have been studied in detail for the early medieval period but new excavated and stray-find evidence from the later
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engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives