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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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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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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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the shortcomings of these techniques, deep learning is more and more involved in static vulnerability localization and improving fuzzing efficiency. This project aims to deliver a smart software vulnerability
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. The project aims to examine how these credentials can be designed and governed to ensure authenticity and trust while safeguarding learners’ privacy. By combining technical analysis, formal modeling, and policy
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and experience in qualitative or mixed methods research. The position also calls for the ability to work collaboratively and with initiative advanced communication, manuscript preparation skills and
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of Excellence for Future Low-Energy Electronics Technologies. I have projects available within the following areas, all of which can be tailored to either honours or PhD level. "Quantum impurities in quantum
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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to be unconventional. I have projects available within the following research areas (at both Honours or PhD level): "Excitons and excitonic superfluidity in monolayer semiconductors" "Interplay of Dirac