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satellite-integrated Early warning And Monitoring (DREAM)” funded by the Independent Research Fund Denmark (DFF). The purpose of this project is to establish a satellite-integrated hydro-meteorological
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: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level behaviour for system monitoring, state
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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reconstructions of glacier change. For the most recent period, sediment records will be linked with modern observations, including PROMICE data, providing a bridge between present-day glacier monitoring and longer
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challenge in this aging era, undermining the functionality, safety and longevity of critical steel infrastructure. There is an urgent need to advance monitoring, diagnosis and prognosis methods that can
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flood forecasting, monitoring and climate adaptation tools. The position is for four years, starting November 1, 2026. The work location is GEUS in Copenhagen. Job description As a researcher at
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Human-Robot Interaction in industrial settings, in terms of monitoring psychophysiological states, predicting fatigue and posture risks, and detecting cognitive strain to provide timely cognitive support
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challenge in modern urban energy infrastructure: the intelligent, automated monitoring and management of large-scale cooling systems spanning components, buildings, and urban districts. As cooling systems
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challenge in this aging era, undermining the functionality, safety and longevity of critical steel infrastructure. There is an urgent need to advance monitoring, diagnosis and prognosis methods that can
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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something