7 condition-monitoring-machine-learning Fellowship positions at CRANFIELD UNIVERSITY in United Kingdom
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strong analytical skills and desirably some computer modelling experience, and an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of
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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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digestate and other waste and generate hydrochar for recovery. The role will involve defining best operational conditions for the reactors such as temperature, pressure and catalysts and their impacts
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the cruise and off-design performance. At off-design conditions such as descent, the powerplant operation can be influenced by the proximity to the airframe. This is not a well understood area and part of
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and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Centre for Propulsion and Thermal Power
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leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Water theme at Cranfield University is home to two internationally recognised centres of excellence
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specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about