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Ph.D. in Physics or a closely related field is required. Candidates with a strong background in quantum many-body theory and experiences in quantum Monte Carlo and tensor network methods are encouraged
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data sets Experience with neural networks/deep learning Prior research studying atmospheric variability, extreme weather, or subseasonal-to-seasonal prediction. Prior knowledge of a broad range of ML
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linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics
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