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machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
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conceptual and experimental framework for engineering functional nanostructures from bottom-up principles. The work will benefit from access to robotic processing platforms and state-of-the-art microscopy and
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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to scrap-based EAF steelmaking, by using a high percentage of scrap supplemented with ore based metallics (OBMs), is an attractive route to decarbonise the steelmaking process. However, residual elements
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to the Net Zero targets. In consultation with the wider CDT community, the work will also include the development of a roadmap for the maturation of the technology and the processes required to have it adopted
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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fully funded four-year PhD scholarship is available in CDT of Engineering Hydrogen Net Zero at Cranfield University. The scholarship is sponsored by EPSRC and the industrial partner (Hydrogen Waves Ltd
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(Kerstin.Eder@bristol.ac.uk ). For questions about eligibility and the application process please contact: Engineering Postgraduate Research Admissions admissions-engpgr@bristol.ac.uk
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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