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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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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, segmentation, and severity quantification. The performance of AI models will be assessed across different impact energies, materials, and boundary conditions. Cranfield University is uniquely positioned
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structures affecting their fundamental modes within conventional sensing limits. As per published research, these effects are mostly investigated under dynamic loads on different boundary conditions
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