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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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This full time role is available immediately, on a fixed-term basis for 12 months. The University of Exeter Business School has developed a suite of Degree Apprenticeship programmes designed in
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The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
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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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project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing postharvest drying
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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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and optimization but lack frameworks to continuously verify AI safety in operational contexts. This project aims to develop a dynamic validation framework for AI systems using high-fidelity digital
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. The project will build on existing processes for battery recycling and iterate on these to develop protocols specific to PV modules. Both end-of-life and state-of-the-art modules will be considered, to ensure
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Professor Noel Healy at noel.healy@ncl.ac.uk For further information about the School of Mathematics, Statistics and Physics please click here . As part of our commitment to career development for research
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effective local energy governance, with particular attention to how international, regional, and national environmental rights can guide equitable and participatory REC development. This will strengthen