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context of a major, first-of-its-kind, longitudinal study (mixed methods) from 2024-2030. Prospective candidates should be conversant with quantitative statistical methods (Project 1), or qualitative
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well-qualified student with postgraduate degrees in finance, economics, statistics, mathematics, or related disciplines. Research will cover topics in: (1) Corporate Finance (2) Asset Pricing (3
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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