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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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future climate which will, in turn, permit assessment of potential vegetation responses. Throughout this PhD you will have opportunity to spend time at the field site and with James Hutton Institute, as
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click the 'Apply' button above, create your account, and use the link sent by email to start the application process. During the application process please select the PhD in Mathematics. *Important notes
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University’s efforts to address this challenge by supporting development of an active network Design Tool for low voltage distribution networks. This tool is a key component of the flagship D-Suite project led
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-generation intelligent hardware. As embedded AI hardware continues to redefine intelligent computing, this PhD offers direct access to cutting-edge silicon design workflows through Cranfield’s EUROPRACTICE
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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population
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to revolutionise nanotechnology by combining organic chemistry and polymer science to create materials that respond and adapt to their surroundings. This PhD project focuses on Ostwald ripening, a fundamental
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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/watch?v=kUclfEN2EL8 The University of Edinburgh is seeking extraordinary doctoral candidates to take up PhD scholarship opportunities available across the College of Arts, Humanities and SocialSciences
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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan