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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real
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engineering, prefer to have experience in IC engines, combustion and CFD. How to apply Applications should be submitted via the Automotive Engineering PhD programme page. In place of a research proposal, you
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
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at the UKRI rate (£20,780 from 1/10/25). There is an enhanced budget for project costs (including travel) of £20,000. Applications are made to the Metamaterials programme for a PhD in Physics/Engineering. We
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equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full time) as the programme of study You will then need to provide
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This is a fully funded, 3-year PhD studentship Fees and Bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. Start Date: January 2026