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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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modelling, risk assessment, and climate resilience planning. Students will gain hands-on experience in environmental sampling, short- and long-read sequencing, microbial genomics and bioinformatics, whilst
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waves still remains a challenging and important research topic, with applications ranging from modelling tsunamis, rogue waves, and ice floes to informing ship design and coastal management. The accurate
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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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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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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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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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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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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should