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of plasma deposition affecting operational utility of SuperMagdrive propelled launcher kick stages; leading to an updated design of kick stage that could be offered into the UK's commercial spaceflight
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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to the renewable energy revolution. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving innovation in sealing technologies. Gain Hands-On Research and Industry Experience
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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in blood sampling under thermoneutral or hyperthermic environments. In addition, SPECIFIC is an Innovation and Knowledge Centre (IKC) based at Swansea University who focus on energy technology research
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at highest risk of kidney function decline, aiding trial prioritisation What you will learn and why it matters This PhD provides a rare skill set sought after in academia, biotech, and healthcare innovation
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group is actively contributing to the Electric Power Innovation for a Carbon-free Society Center (EPICS ) and is closely collaborating with partners in the UK, USA, and Australia. Funding: The PhD
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Innovation Future Leaders Fellowship. The funding is for home and overseas students. Power systems are going through unprecedented changes, driven by the need for decarbonisation but also due to other