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simulation (classical and ab-initio molecular dynamics, DFT, simulations) Proficiency in programming languages like Python, C++, or Fortran for custom analysis tools. Experience in developing workflows
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analysts, and planners who work with the U.S. Department of Energy and other sponsors to assess programs and develop tools for the public to use in calculating potential environmental and economic impacts
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, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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. Strong programming skills in Python, or other relevant languages used in AI/ML. Significant knowledge in machine learning (ML) and applied mathematics. Ability to conduct independent research and
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applications. Knowledge of modern software development practices and programming techniques. Skills in the use of computers and in the analysis of computational results, in the clear and effective documentation
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) Demonstrated knowledge of and experience in general analytical methods and practices Experience in programming for data analysis Excellent oral and written communication skills Demonstrated creative and
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required; received within the last 3 years or upcoming year Basic familiarity with scripting or programming to work with and analyze data. Ability to model Argonne’s core values of impact, safety, respect