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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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intersection of climate, agriculture, and natural resources management Prior work assimilating satellite imagery data into models Experience with the Linux operating system, high-performance computing, cloud
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