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, posterior sampling, and assessment of convergence and model fit. Proficiency in Python and the scientific computing stack, with experience developing software for scientific, statistical, or numerical
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methods. Additionally, you will develop/refine finite element and numerical analysis models to portray shear strength response as a function of temperature, and to attempt to ultimately reconcile those
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
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Experience with numerical computing using programming languages such as C++, Python, etc Author or co-author of open literature publications Special Requirements: Applicants cannot have received their Ph.D
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing