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, or a related field Ability to analyze complex multi-dimensional datasets Preferred Knowledge, Skills, and Abilities: Experience developing Python programs Experience with machine learning approaches
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)/machine learning (ML) applications in the power grid. * Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python
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operation to support design performance and flexibility. Utilize advanced simulation codes (e.g., Xsuite, MAD-X, Impact-X, TRACK, ELEGANT) and Python-based workflows to integrate and analyze results. Provide
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particle accelerator Functional knowledge of particle tracking code that is suitable for tracking spin such as Zgoubi, Xsuite, BMAD Working knowledge of a scripting language, such as python Other Information
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information at BNL | Benefits Program The Chemistry Division (http://www.bnl.gov/chemistry) of Brookhaven National Laboratory (BNL, http://www.bnl.gov) seeks a postdoctoral Research Associates to join the newly
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will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series
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for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https
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will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series
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for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file