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for corrective, preventive, and predictive maintenance activities. Serves as custodian of the facilities work control decision record, ensuring the integrity, traceability, and long-term accessibility of work
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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-scale transport, energy, defence, and technology initiatives, there is a critical need for new AI-enabled approaches to understand, predict, and improve the behaviour of these multi-billion-dollar
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ductile deformation by a dislocation creep flow law. Recent data on low-temperature dislocation dynamics predict a smaller peak resistance at the brittle-ductile transition, which favor deformation
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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, and surgical procedures. • Provide care for pregnant and neonatal NHPs. • Determine and direct use of anesthetic and analgesic agents. • Perform sedation and anesthesia with controlled drugs. • Provide
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acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities
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, incorporating data-driven methods to improve predictions and support strategies aimed at reducing pollution and improving marine ecosystem health. Supervision: Professor Zahra Kalantariis proposed to supervise