44 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at The University of Manchester
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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
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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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solute retention, remains insufficiently understood. This project addresses that gap by leveraging advanced microscopy to study microstructural evolution during thermomechanical processing, aiming
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interact without full trust in a centralized party. This research project aims to develop cryptographic solutions and frameworks that secure AI systems, particularly in decentralized and distributed settings
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of therapeutic cells or biomolecular cargo, and We further propose that by understanding and tuning the fluorescence mechanisms of C-dots, we can develop reliable nanosensors for real-time bioanalytical readouts
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, such links have predominantly been directly from a wind farm to shore (point-to-point). However, proposals are developing for multi-terminal grids for improved reliability and asset utilisation. Proposals
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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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developing next-generation technologies. In this PhD project, you will employ atomistic spin-lattice dynamics simulations, a framework that combines atomistic spin dynamics with molecular dynamics
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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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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that