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the airframe can have a notable impact on both systems and affect the in-flight fuel burn. The research within this post will develop computational models of the coupled system which will be used to evaluate
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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for aircraft systems. You will integrate heterogeneous data streams (from multiple sources, such as sensory, physics model, etc.), flag impending failures, pinpoint and trace back the origin of system faults
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-effective manner. You will be joining the HyPT center to support the work programme on policies, economics, and markets. As an engineering scientist with expertise in the modelling and optimisation of energy