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are invited for fully funded, three-year PhD Studentships within the Lincoln Institute for Rural and Coastal Health (LIRCH), the country’s first integrated, multidisciplinary research Institute dedicated
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of this proposal is to improve their System 2-like abilities by systematically integrating reinforcement learning techniques, encouraging models to reason more deeply when required. Applicants should have, or expect
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
will enable earlier fault detection, better understanding of system degradation, and more informed maintenance planning. Designed for scalability and resilience, the approach will integrate with existing
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networks). Recognition Awards to reward staff who go above and beyond in their role. A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways A
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, developing solutions which have appropriate accuracy, precision, and speed Integrate optimisation problems into data-driven climate-aware resilience assessment frameworks Write up results from own research
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research, research integrity, engaging with the public, responsible innovation, co-creation in research, and ethical research and innovation). Requirements The candidate should have a 1st or high 2:1 degree
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Manufacturing is one of eight major themes at Cranfield University. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management
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integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced
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Framework 2022. In order to maintain and uphold the high standards of our research, we continue to undertake initiatives to ensure that integrity, ethics and excellence are at the core of our research
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varying coolant chemistries, the study aims to understand the effects of deposited CRUD on surface morphology and thermal performance. The project employs a comprehensive approach integrating experimental