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estimation, and learning-based prediction models that anticipate the future motion of vessels seen in the radar data, based on the radar data, local geography and historical patterns. The methods
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hydraulic models used to simulate water-related climate changes. In Structural and Geotechnical Engineering, the focus can also be on ensuring the reliability of structural health monitoring data from sensors
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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& Environment – renewable energy integration and smart grid optimization; electrification, energy storage, and hydrogen technologies; urban energy modeling and environmental sensing; water-energy nexus and
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of tools for mathematical model correlation / cross-checks between analytical predicted and experimentally identified modes, deflections, strain Participate in the development and application of the Agency's
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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget