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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
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a first-class or upper second-class degree (or equivalent) in Civil, Mechanical, Structural and Marine engineering or other relevant areas. Programme Package and Funding Our EnerHy PhD Studentship
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well as Civil and Structural Engineering and 27th for Environmental Sciences in the QS World University Rankings by Subject 2025. BEEE is one of the constituent departments of the Faculty of Construction and
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year project is funded by The Department of Mechanical, Aerospace and Civil Engineering. Home students are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate
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University. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power Engineering, Cranfield University, in the area of gas turbine performance, diagnostics and prognostics
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solutions where improved knowledge of the aero-engine characteristics will be a key consideration. The overall aim of this PhD is to explore novel measurement methods that can improve the assessment of aero
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, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
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of the work such as informing industry standards for aero engine operability. While working on this exciting research project, you will be provided with: A fully funded 4 year full-time PhD - £24,000
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infinite extent models and limited extend data based on trust over particular sets, and naturally create explainable AI structures which can further be analysed from a verification and validation perspective