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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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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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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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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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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
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The composites industry is under increasing pressure to transition towards a truly circular economy. As growing demand continues to widen the supply gap, we must recover untapped value that would
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of this project is to: (i) evaluate mechanisms potentially currently limiting Pst B. vulgaris infection and, thus, sexual reproduction in the UK and (ii) use spatially explicit models to predict how (and when) Pgt
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% efficient in this process largely due to proton leak pathways that occur, leading to energy lost as heat. In specialised brown adipose tissue, popularised as ‘good fat’, such heat production is specifically