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Field
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within the icing group at Cranfield has captured valuable data on droplet splashing, rebound and secondary impingement through experimental research in the vertical icing wind tunnel at Cranfield
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are invited for fully funded, three-year PhD Studentships within the Lincoln Institute for Rural and Coastal Health (LIRCH), the country’s first integrated, multidisciplinary research Institute dedicated
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Self-funded PhD Opportunities in Plant Growth, Reproduction and Stress Responses – University of Sheffield School of Biosciences PhD Research Project Self Funded Dr Lisa Smith, Dr Sam Amsbury
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accretion. Previous work within the icing group at Cranfield has captured valuable data on droplet splashing, rebound and secondary impingement through experimental research in the vertical icing wind tunnel
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predictive model and conduct a sensitivity study to investigate the multiple factors on the performance of the flow meter. Funding The student will be in receipt of a stipend payment; the Research Council
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part
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seminar of the Energy and Environmental Engineering research group where they will have the opportunity to exchange ideas/be exposed to cut-edge research. Feasibility: The project will be completed through
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer