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framework for data‑based structural health monitoring. The Ph.D. project aims to start in the fall of 2025. The Ph.D. position holder will be required to work in Trondheim, together with the Structural
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with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
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data 3) assess the ecological health risks associated with various pollutants and sources, and 4) develop a platform for real-time monitoring of water quality dynamics in the coastal areas using a
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Meteorological Institute warns the weather, monitors the climate and conducts socially critical research. We have provided critical meteorological services to Norwegian society for over 150 years. We ensure
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the framework described above Define and develop a scalable MPC setup suited for typical hydronic heating and ventilation systems in non-residential buildings. Test the MPC in one real building and monitor
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strong need for accurate monitoring and forecasting of the Earth. Machine learning and signal processing play important roles here. The PhD project will focus on machine learning and signal processing
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to sufficiency, i.e. sufficient space, comfort and health (temperature, air/ventilation, light/daylight/view), material quality, and use/functionality? How does peoples’ perception of the quality of space