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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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conferences. We welcome applications from ambitious researchers with a strong power electronics, circuits and protection engineering background. What you would be doing: Assessing the current state of the art
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researchers to focus on the structural integrity issues of materials used in high-temperature power plant applications. How to apply To apply, please email your CV and supporting statement to Chris Hyde
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This project offers an exciting opportunity to undertake industrially linked research with engineering teams of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics
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third of all produced electricity passes through power electronic devices at some stage before consumption with the predicted increase up to 80 % for the next decade. Therefore, even small efficiency
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phase of electronic neural networks is highly power-intensive, and their widespread use puts ever-increasing pressure on global energy infrastructure [1]. Photonic circuits guide and process light-based
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) communication and networking technologies, embedded system design, and computer programming (C++, Python, etc.). Ability to work in an interdisciplinary team and interested in collaborating with industrial
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cryogenic distillation. Mixed ionic-electronic conductors (MIECs) that display high oxide-ion and electronic conductivity can be made into dense ceramic membranes that allow oxygen ions while blocking
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential