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Three Postdoc positions in Machine Learning for Climate Modeling @NYU
The Courant Institute and the Center for Data Science at NYU have three postdoctoral positions in scientific machine learning as part of a new multi-institution international project, M2LInES https://m2lines.github.io. The scientific goal of this project is to improve climate predictions by reducing climate model errors at the air-sea/ice interface using machine learning (ML). Despite the enormous promises of ML in scientific applications, we still need to overcome significant challenges for climate modeling, pertaining to sample efficiency, generalization, uncertainty quantification, tight integration of physical laws into trainable models and interpretability. The 3 NYU postdocs will work with Profs
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