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-relevant properties such as thermal stability, controlled stochasticity, switching dynamics and compatibility with neuromorphic architectures. The goal is to build and validate an automated multiscale
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. However, in many real-world and latency-critical applications, performance cannot be assessed solely through final recognition accuracy. Instead, the value of a prediction strongly depends on its timeliness
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, “Time-Varying Operator-Theoretic Framework for Tipping Point Prediction” (PI: Prof. Sho Shirasaka) in the JST PRESTO research area “Exploration of New Science Using Mathematics to Predict and Control
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computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. At the Division of Systems
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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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Gaussian process regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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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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operating model and governance structure that ensures reliable service delivery, strong change control, appropriate separation of duties, and alignment with institutional priorities. In addition, the Director
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account balances in a professional and timely manner. 7. Internal Controls & Compliance - Follow established internal controls to ensure accuracy, security, and compliance with institutional policies and