36 postdoc-position-in-image-coding PhD positions at Cranfield University in United Kingdom
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(PhDs under this scheme are for a duration of four years full time). At the end of the project the successful applicant will be very well positioned to have a highly successful career in the water sector
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused on thermal conduction in solid medium and often
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, including optimisation of the number/position/type of hardware. Cranfield overview and Sponsor Information/Background: We have a long history in space systems, having undertaken space studies since the 1960s
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will be well-positioned for careers in a variety of sectors including academia and industry.
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digital health systems. The project’s emphasis on explainability, traceability, and system integrity positions graduates as key contributors to the future of responsible AI deployment.
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the global surge in demand for energy-efficient AI solutions, this research positions students at the forefront of technological innovation, equipping them with the expertise to lead in the development of next
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encourage early submission, as the position may be filled before the stated deadline.
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
professional and transferable skill development, preparing graduates for careers in aerospace, engineering, and digital innovation. Throughout the PhD, the student will develop a broad set of skills, from
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to this position. The student will benefit from access to local resources, including Cranfield-based wind tunnels in addition to local and national computing facilities, such as CRESCENT2 and ARCHER2. The expected