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opportunity in composites materials for space application research in the Composites and Advanced Materials Centre and the Centre for Defence Engineering at Cranfield university. The focus of this PhD will be
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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relevant discipline such as materials science, aerospace engineering, mechanical engineering, chemical engineering, physics, or related fields. Prior experience in materials research is beneficial but not
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requirements Applicants should have a first or second-class UK honours degree or equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, physics, or related fields. Prior
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relevant discipline such as materials science, aerospace engineering, mechanical engineering, chemical engineering, physics, or related fields. Prior experience in materials research is beneficial but not
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equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science/engineering, applied physics/mathematics, or related fields. Prior experience
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and
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sampled. This PhD study will address this research challenge. Cranfield is the largest academic centre for postgraduate studies in Science and Technology in the UK. Focused on developing applied research to