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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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. The project involves the deployment of optical fibre sensor technologies for real-time evaluation of bridge integrity and performance. You will work closely with academic and industry partners to implement
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project, you will
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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of Physics at the University of Warwick is seeking a highly motivated and talented Research Fellow to contribute to pioneering research in the development of quantum magnetic sensors and advanced imaging
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key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project, you will
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Duration: Fixed Term Contract until 31st March 2027 About the Role For informal enquiries, please contact Prof Adam Sanborn (Professor) A.N.Sanborn@warwick.ac.uk We will consider applications