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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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development timescales and cost. This could yield efficiency improvements in areas like integrated fan-intake systems, very high bypass ratio engines, ultra-efficient boundary layer ingestion architectures
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