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extend the data science capabilities and capacity created, to other inflammatory mediated diseases. This PhD studentship aims to train the successful candidate in public health research methods, health
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researchers, this PhD will contribute to developing scalable bioprocessing solutions that support a more circular, climate‑positive future for biomass utilisation. Motivation The global shift toward a
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the partners and within the team and translating the partners¿ requirements into the research programme at Liverpool. Contributing to work developing state-of-the-art energy system modelling methods. Being
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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sustainable food or physical activity policies in local government, and how these actors exert influence. Many UK local governments face challenges in developing healthy and sustainable food or active travel
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aims to develop computational models to support the optimisation of plasma atomic layer deposition equipment. The PhD student will undertake numerical simulation, optimisation studies, and explore
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uncertainties make planning and decision-making more complex and difficult to optimise using conventional approaches. This project aims to develop advanced modelling and simulation frameworks to support decision
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. Current pharmacological options are largely ineffective, and their use is limited by maternal side effects and concerns of their impact on the developing fetus. Cognitive Behaviour Therapy for insomnia (CBT
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to develop the next generation of manufacturing processes alongside our partners in Rolls-Royce. Aviation faces a dual challenge: decarbonisation and growing vulnerability in critical raw material supply