32 computational-physics-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Cranfield University
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Resilience (WIRe). The WIRe programme offers a bespoke training programme in technical and personal skills, access to world-leading experimental facilities. The successful candidate will also have the
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are part of the programme. Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace
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fees. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including
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process as a technology that co-produces low-carbon hydrogen and quality-differentiated solid carbon. The novelty is conceptual and empirical: it embeds engineering yields and grade formation into a
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and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
of toilet technologies. Students will investigate how to optimize designs for manufacturability while maintaining performance requirements, reduce production costs through process optimization, and create
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Computing, particularly in relation to AWS[RM1] About you We are seeking people to join the team who are as passionate as we are about AI skills in the digital era and who believe, as we do, that we need a
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academic development throughout the process with support from supervisors wider research activities. There are no examinations on this programme, the final outcome will be a research thesis. Supervision
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves