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strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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conventional synchronous generators. Efficient management of energy storage devices, including batteries, fuel cells, supercapacitors, hydrogen storage, and plug-in hybrid electric vehicles (PHEVs), will be
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: Advancements in biosensor technology are at the forefront of modern biomedical research, addressing the growing need for precise, real-time monitoring of biomolecules and overcoming critical challenges in
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their potential; many reported behaviours are strongly dependent on sample preparation and alignment and current fabrication routes restrict sample geometries thus limiting current applications. This PhD
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equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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of IR efficiencies like heat pumps. Currently, the Standard Assessment Procedure (SAP) attributes infrared heating the same CO2 equivalent as direct electrical heating. However, it is currently unclear
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, current methods for processing seaweed carbohydrates are inefficient, relying on separate enzymatic and chemical steps that lack integration, selectivity, and process control. This project will pioneer a
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. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying the technology