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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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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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, compressible flow, aerodynamic analysis and optimisation would be an advantage. Broader experience of engineering computational modelling and optimisation methods would also be and advantage. As part of
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of a delamination can seriously reduce the strength and stiffness of a laminate especially under compressive buckling loads, potentially leading to catastrophic failure. We have developed new generation
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, Nuclear (CBRN), Advanced Materials for Protective Engineering: Blast and Ballistics, Advanced Imaging. Supervisors At Cranfield we place great importance on supervision and the relationship a student has
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include, but are not limited to: Archaeology, Bioarchaeology and Forensic Anthropology, Materials Characterisation, Advanced Imaging. Supervisors At Cranfield we place great importance on supervision and
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priority in both national security and commercial contexts. Overview To develop and evaluate a non-destructive verification method for multi-layer FR4-based printed circuit boards using advanced imaging
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at