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(such as demand spikes) can threaten the power grid stability. The PhD project will identify and develop solutions to mitigate power grid instability caused by AI data center loads, ensuring resilient grid
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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. Together, these mechanisms strongly influence the long-term behaviour and durability of these engineering plastics. This PhD project aims to investigate the mechanisms governing the long-term evolution
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details Supervisors: Dr Oksana Trushkevych and Prof Tony McNally Research area and project description: Develop scalable acoustic methods to structure advanced polymer composites for lightweight, low‑carbon
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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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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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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
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Jaguar Land Rover and WMG (University of Warwick). The collaboration seeks to investigate and develop new joining methods of battery pack module assemblies. The biggest challenge is moving away from