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. Another key area of focus is integrating blockchain consensus protocols with FL protocols. The goal is to streamline communication and computation by reducing overlaps and redundancies. This can help
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: https://www.jobs.cam.ac.uk/job/52142/ To apply for this studentship, please send your one-page cover letter and two-page CV to Professor Nathan Crilly nc266@cam.ac.uk . The message header should be "JLR
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How to apply: uom.link/pgr-apply-2425 No. of positions: 1 Eligible for: UK students This 4-year PhD project will be funded by DLA studentship. UK students and EU students with settled status are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate...
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for the probability of occurrence of FBO responses. Applications are invited for a fully fundedPhD studentship (UK or EU or International) working on the project. The PhD student will join Rolls Royce Computational
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, please send your one-page cover letter and two-page CV to Professor Nathan Crilly [nc266@cam.ac.uk ]. The message header should be "JLR PhD Application". Emails should arrive no later than 1 September 2025
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of applying. To apply, candidates must submit an application for the 'History Research MPhil/PhD (Full-time)' programme via the King's online admissions portal, by clicking the 'Apply' button, above. The
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
computing facilities. The Centre supports research in digital twins, knowledge-based systems, AI, and immersive technologies such as VR and AR. The candidate will work independently and collaboratively with