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Field
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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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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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part of the EPSRC Centre for Doctoral Training (CDT) in Net Zero Aviation, offering an integrated, multidisciplinary training programme focused on innovation, collaboration, and inclusive leadership. As
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, addressing the multifaceted challenges they present has become imperative to safeguard both human well-being and the integrity of our natural environment. Currently, no water or wastewater treatment plants
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treatments of dry fibers, such as UV or atmospheric plasma; the addition of nanoparticles to the resin; and the integration of materials like carbon fibers, carbon nanotubes, carbon black, graphene
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, that are commonly integrated into the end-effectors, but on advanced (e.g. tactile, sound-based, shape) solutions that enhance the perception of the end-effectors so that versatile tasks can be performed. We
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. These innovations are driven by the need to complete complex repairs without disassembling industrial installations. By integrating these technologies, we aim to develop hybrid robotic systems that combine locomotion
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diffraction (EBSD), transmission electron microscope (TEM) and in-situ micromechanics. This project will involve manufacturing trials, workpiece surface quality analysis (e.g. metallurgy, integrity, residual