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laboratories based at the Dept of Chemistry, University of Manchester. The studentship is available from Sept 2026 and tenable for 3.5 years. The project will develop new approaches to novel nucleosides via
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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features such as curvature, branching, bifurcations, narrowing, and local dilations. This PhD project aims to develop a ‘haemodynamic fingerprinting’ framework that systematically links arterial geometry
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, and local dilations. This PhD project aims to develop a ‘haemodynamic fingerprinting’ framework that systematically links arterial geometry → blood flow patterns → atherogenic risk, without relying
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to leverage molecular dynamics simulation develop methods to determine the partitioning with relevant surfactant systems. The project will further be extended to studying the interaction of different additives
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
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2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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. Develop a high-resolution chronostratigraphic framework across eastern Morocco 3. Better constrain the distribution, quality, and controls on organic matter accumulation 4. Improve understanding
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, this will enable a design-led approach to develop catalytic processes for dimetallocenes, such as alkyne hydroamination. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a