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to augment the funds to cover the extra costs associated with international student fees. Exceptional candidates may be eligible for an International Fee Bursary. High throughput kinetics data for steel
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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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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
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, defensible datasets that can verify precious metal article authenticity. Greater data will enable smart approaches with assigned probabilities of authenticity to aid hallmarking practices. Partnering with
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transmission electron microscopy, X-ray diffraction and, where necessary, synchrotron X-ray diffraction, nano-secondary ion mass spectroscopy, and 3D atom probe tomography. The data acquired will be used
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Supervisors: Professor Greg Hannon and Dr Ben Nicholson For further information about the research group, including their most recent publications, please visit their websites: https
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application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group, including their most recent publications
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Hamied Department of Chemistry. For further information about the research group, including their most recent publications, please visit their website at http://www-balasubramanian.ch.cam.ac.uk . Project
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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems
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. Informal enquiries may be made by email to Professor Paul Midgley (pam33@cam.ac.uk ). Further information on the application process is available from Dr Rosie Ward (remw2@cam.ac.uk ).