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prototype fusion power plant, by 2040. Proposed fusion power plants will use deuterium-tritium fusion, generating tritium in situ via the bombardment of lithium-6 with neutrons. Natural lithium is comprised
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state beyond a certain speed. Although predictions of sub-synchronous vibrations with current codes have shown good correlation with experiments under controlled lab conditions, this was only up to a
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home students are eligible. The successful candidate will receive an annual tax free stipend set at...
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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK students. The successful student will receive...
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sustainable healthcare, healthy aging, and inclusive design, and offers a unique opportunity to contribute to socially impactful innovation in biomedical materials and wearable technology. At The University
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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The 3.5-year project is fully funded by the School of Natural Sciences; the successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. This funding is for home students only. We expect the stipend to increase each year....
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None of positions: 1 This 4 year PhD project is fully funded for home students; the successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. New turbo products for automotive and energy sectors are being constantly...
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well as to initiate new queries. As a member of an interdisciplinary team, the candidate will have the opportunity to receive training in a variety of techniques, including molecular biology, embryology, imaging
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project