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Project title: Biometric deepfake to physical attack instrument assessment Supervisory Team: Richard Guest and Jennifer Williams Project description: Deepfake technologies have increased
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range of opportunities to enhance your professional development and transferable skills. The Faculty of Engineering and Physical Sciences covers diverse topics in the areas of Chemistry and Chemical
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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This project could be right for you if you enjoy solid mechanics and structures, have an inclination toward computational and analytical mechanics, and are also interested in carrying out physical experiments
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suitable for applicants with a high level degree in Physics, Chemistry or Materials Science, ideally with some prior experience in quantum chemistry or solid state electronic structure calculations
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the experience of a PhD in ECS here . We welcome applicants from a range of fields including but not restricted to physics, engineering, electronics and chemistry. Entry Requirements A very good
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, Physical and Biological systems to provide a diverse and interconnected cohort training environment. As well as carrying out research training in a world-leading research group, membership of CISDnS will
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across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment. As well as carrying out research training in a world-leading research
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commercial) you should have an interest in coding and have experience in Python, MATLAB or similar scientific computing environments. The project is suitable for engineering, material science or physics
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at wavelengths unachievable by traditional fibres. In this project we will develop novel ways to physically interconnect hollow core fibres with single photon sources and detectors used in quantum memories