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Field
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Ricardo: Jay Al-Tayie. Vision Future defence and aerospace propulsion systems require electric machines with substantially higher power density than current technologies while maintaining exceptional
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intraocular pressure (IOP) remains the only proven treatment to slow disease progression. Although current therapies are effective at controlling IOP, many patients continue to lose vision despite well
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mathematics, machine learning, photonics, and clinical practices in vision. Be part of a multidisciplinary research team spanning science and engineering, psychology, and healthcare. Access state-of-the-art
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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on the implications of our findings. Qualified individuals will have a strong aptitude to reformulate open questions; devise creative solutions; deliver concise, rigorous prototype implementations; and clearly
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on the implications of our findings. Qualified individuals will have a strong aptitude to reformulate open questions; devise creative solutions; deliver concise, rigorous prototype implementations; and clearly
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Bio-Imaging Lab (preclinical neuro-MRI). In this context, the Department of Biomedical Sciences in the Faculty of Pharmaceutical, Biomedical, and Veterinary Sciences is looking for a full-time (100
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Novel optics and AI approaches to image the centre of a live root for the first time. This exciting opportunity is based within the thriving Optics and Photonics Research Group in Faculty
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science and engineering. The faculty engage in fundamental and applied research and education in lasers, optical fibers, semiconductor and integrated photonic devices, nonlinear and quantum optics, imaging
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will