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Field
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the spatial distribution of woodburning emissions. Integrate observations into inversion modelling to refine regional and national emission inventories. Model the impact of woodburning on UK air quality and
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planktonic methane sources and methanotroph communities remain unresolved. This PhD will examine how methanotrophs integrate methane derived from sediments and plankton. Field surveys in the UKCEH Cumbrian
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remain poorly understood. This project will integrate transcriptomics, proteomics, and comparative genomics to decode venom gene evolution in the subfamily Corydoradinae, a hyperdiverse Amazonian clade
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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(SMEs) in the health and life sciences (H&LS) sector to embed and accelerate sustainable manufacturing in their businesses. Integrated research in this programme will generate evidence-based guidance
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Future 6G Non-Terrestrial Networks (NTNs) will integrate LEO, aerial vehicles, and terrestrial infrastructures to provide seamless global connectivity. However, rapid platform mobility, high doppler
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design and energy/resource recovery. The student will investigate how process intensification, energy integration, and resource recovery pathways can be combined to make MECs economically and
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research into how drought affects the health and performance of UK levees. You will explore how environmental stressors compromise levee integrity and develop new ways to assess and monitor these impacts
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valuable new data for the project. By integrating advanced data science with traditional field volcanology and community-based training, the project will identify hidden high-risk volcanoes and contribute
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Atmospheric rivers are narrow bands of strong vertically integrated water vapour transport (IVT), conjuring the image of a river in the sky. This phenomenon has been studied extensively in relation