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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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biomedical sectors. The group’s expertise includes alloy design, microstructure-property relationships, phase transformations, and advanced materials processing. Closing date for applications: 15 Jan 2026 with
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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diverse and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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protein expression for biomedical applications. Project details: Protein expression and purification remain fundamental bottlenecks in biomedical research and drug discovery. Current approaches are time
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main