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and data analysis, such as Python, Julia Ability to perform detailed simulations of the physical processes being studied. This includes the simulation of particle beams and their transport in complex
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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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in STEM. You will work in the Python language and using established machine-learning libraries. You will investigate a variety of vision models. You will systematically study performance and prepare
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collection in Python Demonstrated success supervising or leading scientific or technical groups or projects Other Information: On-site Brookhaven National Laboratory is committed to providing fair, equitable
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publications, and presented at scientific conferences Demonstrated programming skills in C/C++, Python, Fortran or other commonly used programming languages. Experienced in the practice of high-performance
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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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at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file