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to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
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established Neuromorphic group working on advanced machine and deep machine-learning based signal processing elements under the general leadership of working directly with Drs Pedro Freire, Yaroslav Prylepskiy
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systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve
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of the project, right to work will be checked by DSTL for security requirement. Your skills and knowledge will mean you can contribute to research & development activities such as (1) deep learning, (2) human
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can contribute to research & development activities such as (1) deep learning, (2) human-computer interface, (2) engage with our DSTL and other defence partners to develop current and future research