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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with leading energy materials researchers and industry partners. Ion-exchange membranes are key
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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gut microbiome lab-based models and culture methods, the studentship will explore microbial dynamics, microbe carbohydrate degradation pathways and microbial binding to substrates. These findings will
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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including number theory, dynamical systems, probability theory, equidistribution theory and optimal transport. The aim of the PhD project is to develop a flexible framework based on harmonic analysis to study
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scholarship covers UK tuition fees plus a maintenance stipend matching UKRI (£20,780 in 2025/26) per year, subject to satisfactory progress. The position is available from 1st March, 2026. This PhD will explore
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Primary supervisor - Dr Rebecca Taylor This project is recruiting to a 1st February 2026 start date. Ageing is associated with increased rates of disease, including neurodegenerative conditions