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of Artificial Intelligence (AI) to address such challenges offers an opportunity. This PhD will investigate how adopting agentic AI can improve supply chain resilience. The project aims to develop and empirically
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations. Based
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intelligence, multi-agent systems, and the design of AI models. They will also acquire transferable skills in interdisciplinary problem-solving and innovation, which will significantly enhance
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can be costly, energy-intensive, and increase carbon emissions. Nature-based solutions (NbS), such as integrated constructed wetlands (ICWs), offer sustainable alternatives that combine effective
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Supervisor: Professor Tracey Temple 2nd Supervisor: Professor Krzysztof Koziol 3rd Supervisor: Professor Frederic Coulon Opportunity Reference No: CRAN-0078 A PhD in biodegradable plastic military training
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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years Eligibility Fee status: Home Duration *: 4 years 1st Supervisor: David MacManus 2nd Supervisor: Pavlos Zachos Opportunity Reference No: CRAN-0065 This is a fully funded PhD (fees and bursary) in
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any