77 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Cranfield University in United Kingdom
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-on experience on GTs. ETN also provides the opportunity to network with several young engineers, through the Young Engineering Committee (YEC). In the last few years, the YEC has published report, delivered
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industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . IT Services is a University-wide professional service delivering
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industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . IT Services is a University-wide professional service delivering
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energy efficiency. Surface treatments and engineered coatings will be explored to improve inter-material interfaces, reduce optical losses, and enhance detector robustness, critical factors to advance
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institution renowned for its research impact, strong industry partnerships, and focus on applied science. This project is supported by Barilla, a multinational food company dedicated to enhancing food quality
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This self-funded PhD opportunity is open to both UK and international students with a strong background or willingness to develop expertise in offshore engineering, human factors, digital twin
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to contribute to cutting-edge developments in technology that prioritise human-centred solutions and interdisciplinary approaches. This project aims to develop embodied AI systems that enhance human-swarm
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technology, management, defence and security. Cranfield is recognised for delivering outstanding research addressing contemporary global challenges with economic, environmental, and social impact for business
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-assurance positioning in safety-critical applications. Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology, management, defence
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models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone