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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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specifically for ASD applications, and the creation of high-throughput, miniaturised screening platforms capable of accelerating data generation while reducing waste. The aim is to improve the solubility
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applications, and the creation of high-throughput, miniaturised screening platforms capable of accelerating data generation while reducing waste. The aim is to improve the solubility, stability, and overall
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and