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technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. The quality of weather forecasts, seasonal simulations
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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, with strong analytical and computational skills, with knowledge of one or all of the following: Dynamic Transport Modelling Demand Estimation and Forecasting Agent-based Modelling and Simulation Data
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