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this PhD, synchrotron X-ray diffraction will be used to track the evolving crystallography in steel samples over a wide range of cooling rates and isothermal dwells. The diffraction data will be interpreted
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lines and collect high-throughout measurements of corresponding mRNA and protein levels for several protein targets. Ultimately, you will use these data to develop Matchmaker, a machine learning framework
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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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for complex data accessible to the scientific community and to produce innovative methodology related to trial designs, longitudinal and event history data, precision medicine, causal inference, AI/machine
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Location: West Cambridge Funder: Tata Steel and the University of Cambridge Duration: 4 years from 1 October 2026 Supervisors: Prof Howard Stone and Dr David Collins Location: The PhD studentship
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: The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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A competition for the fully funded Ashby PhD Scholarship in the area of Mechanics and Materials is now open at the Department of Engineering, University of Cambridge. The Scholarship, endowed in
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Location: West Cambridge The world-renowned Cavendish Laboratory is seeking an enthusiastic, self-motivated student who enjoys working as part of a team to undertake a PhD in the NanoPhotonics Group