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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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completed within the last 5 years in computer science, data science or a discipline related to the job duties. Experience in parallel computing. Experience with storage systems. Previous research experience
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simulations to elucidate the equilibrium/non-equilibrium dynamics. Independently plan and conduct simulations and work with experimentalists to help interpret SANS results and understand structural/dynamic
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asynchronous programming models. Experience in heterogeneous computing, developing and debugging massively parallel algorithms and code performance profiling are a plus. Applicants cannot have received