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boundary attack in cladding due to combined thermal ageing and irradiation damage, residual stresses present in the cladding, corrosion rates of cladding in low and high pH aqueous environments, and how
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optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
datasets with industry-aligned performance metrics. The successful candidate will join the Centre for Digital and Design Engineering (CDDE), part of Cranfield’s Manufacturing, Materials and Design theme
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generation high poWer fuel cells for airBORNe applications” project (https://newborn-project.eu/ ) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion
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quality of life to patients. However, despite the widespread clinical success of other joint replacements in the lower limb, TAR has not generally performed so well. Ankle fusion, where the bones
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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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Overview Location: College Lane Campus Programme Description The Centre for MoDDD at the University of Hertfordshire invites applications for a PhD candidate to join a 3-year QR funded research