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3.5-year D.Phil. studentship Project: Nature-based and biomimetic foundation systems Supervisors: Professor Jonathan Knappett and Professor Chris Martin The root systems of trees provide ‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high...
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are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending
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24 Funded PhDs Available: The NERC & BBSRC QUARTILES Partnership - Applications open for October 2026 Entry. Applications are now open. Please visit our website for full details, to register
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. The successful candidate will undertake a course in legal research methods during the first year as a full-time student. This provides training in legal research methodology and supports PhD students in designing
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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properties, allowing innovative systems for energy harvesting or photocatalysis to be designed. Further information about our research can be found on our group web page (https://kirrander.web.ox.ac.uk ) and
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computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
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PhD Studentships in Electrochemistry, Materials Chemistry, Electrocatalysis and Batteries Hartnoll Centre for Experimental Fuel Technologies at the University of Warwick WE ARE RECRUITING 15 PhD
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value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both ecological resilience and community wellbeing
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the relationship between tyre operating conditions and friction behaviour, new characterisation and analysis techniques are required. In partnership with Mercedes-Benz Grand Prix Ltd, this PhD research will combine