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. They provide short-term (up to 10 days) forecast of the Arctic ocean, sea ice and biogeochemical state to the Copernicus Marine Services (https://marine.copernicus.eu ). The PhD study will be linked
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) developing forecasting models based on artificial intelligence, considering variables such as renewable energy production, energy consumption, electricity prices, and the state of charge of energy storage
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landslide and rockfall forecasting: the lack of physically grounded, early precursors of failure. The core hypothesis is that macroscopic slope collapse is preceded by changes in local deformation, expressed
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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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advanced optimization models to support microgrid management, including forecasting, load scheduling, and demand response strategies; and (iii) designing and implementing a digital platform that enables