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to strengthening UK capability in strategically important high-voltage semiconductor technologies, supporting decarbonisation, grid modernisation, and advanced manufacturing. The successful candidate will develop
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for participation in conferences. Students will join the Hartnoll Centre for Experimental Fuel Technologies , which aims to develop innovative fuel cell and battery technologies, underpinned by fundamental
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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10,000 year risk levels are required to be mitigated for. Through collaboration with EDF Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile
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techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills
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research from powders to pouch cells (and recycled back) and includes synthesis and pilot line scale up facilities for industrial alignment. The PhD project will focus on the development and characterization
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, developing versatile skills that open doors to both academia and industry. Collaborative Environment – Work alongside leading researchers and industry partners in a supportive, vibrant community that values
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cell failure and its implications for system-level battery design. By creating a new scientifically robust framework to assess and mitigate thermal runaway, this PhD project will develop a unique