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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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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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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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, “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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
profiling (BGC-Argo) floats (https://www.nature.com/articles/s41586-021-03805-8). The NASA Ocean Biogeochemical Model (NOBM) has recently been coupled to the Subseasonal to Seasonal Prediction Version 3 (S2S
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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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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
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].. [1] Salomonsen, C. "A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. " EJNMMI Research, 2026. [2] Thomas, S
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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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MRI measurements can be translated into meaningful input for predicting optimal sensor phase configurations and feedback control; Identify pathways towards the integration of domain knowledge about MRI