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. Experience in developing and applying advanced parametric/machine learning postprocessing techniques, producing probabilistic forecasts of hydrometeorological variables, and parallel computing. Proficiency in
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learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g
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of probabilistic lake-to-lake routing and forecasting capabilities for operational partners (e.g., U.S. Army Corps of Engineers). Manage and analyze large hydrometeorological datasets from models, observations, and
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. • Contribute to model adaptation by integrating climate, land use, and economic factors. • Develop vector risk projections and perform sensitivity analyses. • Produce and validate probabilistic forecasts
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international research institution with high academic standards and an interdisciplinary work environment, developing forecasting systems and tools for conflict predictions? The Peace Research Institute Oslo
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around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine
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for pattern extraction, explanation, and forecasting of the high-dimensional, non-stationary, temporal data encountered in energy finance. We design this new family of ML/AI instruments to provide distinct
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
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machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection