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systems, providing early detection of adverse events such as infection and inflammation. The project will involve sensor design and modelling, prototype development, electrochemical characterisation, and
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frameworks that can maximise the performance, efficiency, and emissions reduction potential of such new fuels through intelligent design, modelling, and experimental validation. Research Objectives Investigate
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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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the necessary theoretical tools, using cavity quantum electrodynamic (QED) descriptions, to model and understand this complex interaction between plasmons and molecules, to reveal the necessary procedures
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tools using cavity quantum electrodynamic (QED) descriptions, to model and understand this complex interaction between plasmons in small gaps and the vibrational behaviour of molecules. The student will
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season properties (e.g. number, intensity) for lead times ranging from one to approximately six months in the latest generation of dynamical seasonal and decadal forecast models. Seasonal forecasts
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physiology and nutrient assimilation. Controlled feeding experiments will trace trophic transfer into zooplankton and higher consumers, generating quantitative coefficients for ecological risk models. Finally
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indicate increased risk of skin breakdown. The project will involve design and modelling, 3D printing and prototyping, mechanical testing, and evaluation of sensing performance in representative conditions
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waste management, considering existing and potential future regulations worldwide and considering what is needed to effectively displace new mining expansions. 4. Using these scenarios, develop a model
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the corrosion of reinforcing steel, which compromises safety, durability, and sustainability. Current corrosion prediction models often fall short because they rely on oversimplified assumptions and