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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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, analyze experimental data, and refine computational models based on observed performance Analyze and interpret experimental and simulation data using appropriate statistical and computational methods, and
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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate
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recovery following hurricanes and other disturbances at scale. Apply explainable AI and statistical methods to identify physical, environmental, and biological drivers of ecosystem change and resilience
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, statistical methods, and computational tools. Contribute to externally sponsored research proposals, technical reports, peer-reviewed publications, invention disclosures, conference presentations, and sponsor
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mechanics, statistical modeling, and linear algebra Preferred Qualifications: Experience with density matrix renormalization group and tensor network algorithm development and application. Competency with
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participation in development of underlying libraries for performance portability. A strong background in particle based and statistical modeling is preferred. Competency in programming across hardware types
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, analyze experimental data, and refine computational models based on observed performance Analyze and interpret experimental and simulation data using appropriate statistical and computational methods, and
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or related Applied Economics discipline with a strong quantitative focus. Demonstrable knowledge of applied econometrics and statistical evaluation methods, such as: Difference-in-Differences (DiD
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theory, thermodynamics, statistical mechanics, or non-equilibrium physics Preferred Qualifications: Rich experience with transport measurements and characterization Basic knowledge of models of strongly