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optimization, with experience in adaptive routing and SDN technologies. Proficiency in programming languages such as Python, C/C++, and experience with parallel computing frameworks. Effective written and oral
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to develop and lead a world-class research program that strongly aligns with DOE priorities in low energy nuclear physics, as outlined in the 2023 Nuclear Science Advisory Committee Long Range Plan for Nuclear
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instrument programming. Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python. Familiarity with scientific productivity, as demonstrated by publications
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programming. Strong oral and written communication skills. Excellent collaboration and teamwork abilities. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Preferred
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to conceive of, plan, and implement the scientific research, and to report relevant results in publications and conference presentations. The selected individual will have access to state-of-the-art research
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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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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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advanced techniques Plan and execute research on battery materials using structural, chemical, mechanical, and electrochemical methods Maintain adherence to all Laboratory and Divisional Environmental
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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