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-funded project and that there is no tuition-fee or maintenance bursary attached to this position. The student will benefit from access to local resources, including Cranfield-based and national computing
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Evans (dial-admin@eng.cam.ac.uk ) to let her know their interest in this position once their PhD application has been submitted. Interviews for the studentship will be held in September. The University
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email Ms Becky Evans (dial-admin@eng.cam.ac.uk ) to let her know their interest in this position once their PhD application has been submitted. Interviews for the studentship will be held in September
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How to apply: uom.link/pgr-apply-2425 How many positions:1 This is an industry funded PhD for home and overseas students. The successful candidate will receive a tax free stipend set at the UKRI
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
deployment of Carbon Capture Utilisation and Storage (CCUS) is critical for achieving the UK's net-zero target set by the Climate Change Act (2008). With commercial agreements in place for two Track-1 clusters
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experiments. Additional paid tutoring work may also be available within the School of Engineering. Applications will be considered as they are received, and the position will close once a suitable candidate has
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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to developing novel computational methods for design and optimization problems in turbomachinery with strong support from Rolls Royce plc. The student will be expected to closely work with Rolls Royce Engineer
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You will lead the qualitative work to understand how individuals experienced the intervention and app how it worked. This will directly impact the design and refinement of the intervention, and so you will be providing key input into intervention development, and ultimately a potential medical...
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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research