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sequencing technologies (such as nanopore sequencing) has enabled the discovery and analysis of complex regions of the genome for the first time. Novel long read sequencing approaches developed in the Ryan
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project at the CNNP Lab . The aim of ACORN is to understand the role of biological rhythms (chronobiology) in health and disease, and develop time-adaptive therapies. This project is funded by UKRI and is a
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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carried out under the UK Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles
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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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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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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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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed