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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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for Data Analytics. The successful candidate will contribute to a collaborative research programme with an industry partner, focusing on modern, scalable recommender systems, including behavioural modelling
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