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furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel manufacturing and enhance the high-value utilisation of the new EAF steelmaking slags. Transition
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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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to ensure AI models deliver reliable, transparent, and auditable decisions in complex industrial contexts. This project offers an exciting opportunity for you to shape the next generation of industrial AI
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testing (NDT) or laser ablation. This exciting PhD opportunity offers a unique combination of academic and industrial challenges, equipping the student with the skills to tackle complex mechatronics
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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substrate, enabling the layer-by-layer construction of complex 3D objects. The temperature field created by the interaction between the electric arc and the material is a critical factor influencing the
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human capital, finance and investment, macroeconomics, regional and international comparisons, public policy, and the productivity challenges created by the new technologies and the transition to net-zero
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. These innovations are driven by the need to complete complex repairs without disassembling industrial installations. By integrating these technologies, we aim to develop hybrid robotic systems that combine locomotion
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early 2030s. One prominent HTGR configuration is the pebble-bed reactor, in which spherical fuel elements (pebbles) are densely packed within the core, creating a complex and heterogeneous thermal-fluid
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques