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AI-electronic systems with applications in aerospace, healthcare, and beyond. As AI systems become increasingly integrated into critical applications, ensuring their security and trustworthiness is
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Waters Leverhulme Doctoral programme studentship will cover the stipend (£20,780; tax free) and fees for up to 4 years for a home (UK) student. To be eligible for this funding, applicants must be
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are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly
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fees. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including
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-oriented roles in the broad domain of supply chain management. Entry requirements Applicants should have a first- or second-class UK degree or equivalent in a related discipline. A background in supply chain
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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will be quantified. The proposed framework validation will be achieved by implementing it on a selected manufacturing sector. At a glance Application deadlineOngoing Award type(s)PhD Duration of award3
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at the edge. The project explores advanced topics such as TinyML, neuromorphic design, reconfigurable logic, and autonomous fault recovery, with applications ranging from aerospace, energy, and robotics