56 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD scholarships at The University of Manchester
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digital twins with quantified uncertainty. This project will develop a measurement-science-driven digital twin framework for energy assets, initially demonstrated on PV modules/fields and battery systems
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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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the most efficient perovskite PVs rely on environmentally harmful compounds. Developing stable and eco-friendly materials and devices could lead to significant breakthroughs for the future photovoltaics
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they operate their aircraft. This project aims to develop metallic coatings for corrosion protection of components used at high temperature; similar environment as in aero-engine. The project will involves close
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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, the PhD student will develop a molecular-level understanding of what governs selectivity in complex liquid-phase environments. The project is placed in a broader context of valorising waste-derived
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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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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