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candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
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, certification, and/or registration. Additional Qualifications Working knowledge and experience with R, Stan, Nimble, or other relevant analytical software. Knowledgeable of Bayesian statistical methods, numerical
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scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief networks; etc.); and interpreting, communicating to broad
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