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controls (inhomogeneous materials/geometries). Validate on synthetic and real experiments; publish open benchmarks and papers. Why this is exciting Work at the frontier of AI for science (foundation models
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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The London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP) is led by King’s College London and funded by the Economic and Social Research Council (ESRC) The LISS DTP Open
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Engineering, Physical Sciences, and Mathematical Sciences. Why chose UCL? UCL has a history of academic excellence and is consistently ranked among the world's top universities, with many of our faculties
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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/MSci or higher degree (or international equivalent) in: Engineering, Materials Science, or a closely related discipline. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a
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expected to receive a first or upper-second class honours degree in anEngineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but
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have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led activities
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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investigate new strategies to protect and regenerate nerve cells after SCI by combining molecular biology, pharmacology, and gene therapy in translational models of central nervous system repair. The work will