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manufacturing and process or material science. About the Role This is an exciting opportunity for you to contribute to a new industry project funded by Airbus on the optimisation of next-generation landing gear
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to £40,347 per annum We welcome applications for this key research post from those with relevant knowledge and experience in advanced welding processes, additive manufacturing and process or material science
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for Autonomous and Cyber-Physical Systems. About the Role Our reputation for leading in the field of digital systems: sensor data and signal processing for position, navigation and timing, and machine learning
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Research Group in the Centre for Autonomous and Cyber-Physical Systems. About the Role Our reputation for leading in the field of digital systems: sensor data and signal processing for position, navigation
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class research, driving technological and conceptual advances in aeronautics, propulsion & thermal power engineering, cyber-physical systems and intelligent automation. Through the strong links with
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are the powerhouses of our world class research, driving technological and conceptual advances in aeronautics, propulsion & thermal power engineering, cyber-physical systems and intelligent automation. Through
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the broad area of modelling metallic materials with physics-based models. You will be part of a multidisciplinary team, interacting with various researchers and working with a range of modelling
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), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by
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mechanics and the broad area of modelling metallic materials with physics-based models. You will be part of a multidisciplinary team, interacting with various researchers and working with a range of modelling
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will have a relevant postgraduate qualification (such as physical geography, geomorphology, ecology, statistics or similar) and a good understanding of river ecology, morphology, pressures and impacts