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Early and accurate cancer detection remains a critical global healthcare challenge, with profound implications for patient outcomes and treatment strategies. While Time-of-Flight Positron Emission Tomography (ToF-PET) offers vital functional and molecular insights for improved cancer staging,...
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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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collection setup and data acquisition. •Training in ecological field identification. •Initial model training and software prototype development. Year 2: •Expanded image collection across multiple sites. •Model
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-to-energy plasma unit capable of producing synthesis gas for electricity and heat. The innovation builds upon original research and integrates multiple stages (plasma gasification, slag recovery
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business needs while pushing technological boundaries. Your research will deliver transformative impacts across multiple industries by creating implementable solutions to longstanding operational challenges
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scintillator-based radiation sensors combining multiple materials with complementary functions, offer a promising route to overcome these limits and achieve unprecedented timing resolution (sub-70ps), enabling
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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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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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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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project based on the applicant's interests). The project’s AI-enhanced solutions will set new benchmarks for intelligent electronics across aviation, electrification, smart mobility, cybersecurity, and