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nanomaterials synthesis and characterization is desirable. Interest in energy storage technologies and machine learning applications in materials science. Strong analytical and problem-solving skills, and the
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. The start date is 1st October 2025. Visualising data
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