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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
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are seeking a Research Assistant with a strong interest in the architectural and urban history of European tenements from the late nineteenth and early twentieth centuries. The role supports the Leverhulme
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the UK require step-change performance of electrical motors from a state-of-the-art continuous power density of 2-5 kW/kg to 10-25 kW/kg by 2035. Incremental improvements in electrical machines built from
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Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in the UK require step-change performance of electrical motors from a state-of-the-art
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the UK require step-change performance of electrical motors from a state-of-the-art continuous power density of 2-5 kW/kg to 10-25 kW/kg by 2035. The highest power dense motors today rely on unsustainable
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and scientists are constantly looking for methods to improve sporting performances, and a popular method is the use of legal ergogenic aids. However, there are various ergogenic aids, and the amount
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Electrophysical remanufacturing of aerospace gas turbine components for performance restoration and critical material safeguarding This exciting opportunity is based within the Advanced
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will be given preference. Knowledge of and experience in the characterisation of fast ionic conductors is welcome. These works are part of a larger project on which several PhD students and postdocs will