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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
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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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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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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) Computer Science and Digital Technology (2 positions) and Architecture and Planning (1 position). Training and Development Opportunities The Scholarships provide an opportunity to work with leading researchers and
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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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Whiteknights Campus is set in 120 hectares of beautiful, award-winning parkland, less than a 30-minute train ride to London Paddington and is approximately 30 miles from London Heathrow airport. During your PhD
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. Funding This is a self-funded PhD. Find out more about fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and
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of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD student to join the team. About the Max Perutz Labs: The successful applicant
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an original programme of research working with ecologists Dr Fay Voller , Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science . This PhD is