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Computing & Digital Technology. Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your skills and experience map to the aims and objectives
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material technologies. As a PhD candidate, you will join the Materialising Futures section within the Faculty of Industrial Design Engineering at TU Delft. Your project will build upon internationally
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of trustworthy neurosymbolic AI. There is both a theoretic and practical component to this topic, since the ultimate goal is to implement efficient algorithms that allow reasoning engines to produce
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-based chemistry, including reverse water-gas shift (CO2 + H2 <-> CO + H2O), leading to technology transition moving away from conventional fossil-fuel heated refining processes to the refinery
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predictive models of formation alteration. The project is funded by Eni S.p.A through the UK Energy Futures (ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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fundamental research and real-world impact through industry partnerships, technology transfer, and the creation of innovative biotech ventures. Our discoveries contribute to new diagnostics, therapies
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This exciting opportunity is based within the Power Electronics and Machines Control Research Institute of the Faculty of Engineering at the University of Nottingham which conducts cutting edge
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within a single instrument, this technology has the potential to significantly expand the capabilities and accessibility of electron microscopy. Working at the intersection of electron optics, MEMS