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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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, where relevant, PhD level, typically within areas related to wireless communication. This includes course teaching, supervision of project and thesis work, and involvement in the continuous development
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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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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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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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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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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
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decision-making. The candidate will be supported to develop the project. The project requires some knowledge on social sciences research methods but training will be provided. The research is expected
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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