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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee EEE / Satellite Research Centre (SaRC): SaRC is
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for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI-funded fellow
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts of the future ocean state
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Raffin. *High Throughput Training of Deep Surrogates from Large Ensemble Runs*. In SC 2023 — The International Conference for High Performance Computing, Networking, Storage. Nov. 2023. https://hal.science
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atmospheric deep convection, extra-tropical cyclones, heat waves, ensemble prediction and algorithmic parameter estimation techniques as well as future changes to our weather and climate on global and regional
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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group at INAR , and be supervised by Dr. Clément Bouvier. The group covers a range of topics including atmospheric deep convection, extra-tropical cyclones, heat waves, ensemble prediction and algorithmic
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convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter estimation. The group’s main modelling tool in research and teaching is OpenIFS of ECMWF. Research within
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research group at INAR, led by Professor Heikki Järvinen. The group is active in topics such as atmospheric convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter