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machine learning. This part of the research at Princeton University/GFDL will involve working with the SPEAR ocean data assimilation system and the MOM6 ocean circulation model. The prognostic
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will involve working with the SPEAR ocean data assimilation system and the MOM6 ocean circulation model. The prognostic parameterizations will be state-dependent and trained to minimize model-observation
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or more senior research scientist to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop
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or more senior research scientist to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop
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to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop parameterizations of unresolved processes that will