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a related field Experience with radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding
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Required Knowledge, Skills, and Abilities: PhD in Accelerator Physics or a related field In-depth working knowledge of accelerator design codes such as BMAD, MADX, or ELEGANT Working knowledge of programming
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experience using and advancing data analytics and modeling, which may include using FEFF, Python or other modeling/programming languages. • Your experience is demonstrated through publications, GitHub
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Government Talent Recruitment Programs, as defined and detailed in 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
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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systems (i.e., x-ray or electron imaging, critical-dimension small angle scattering, or x-ray diffraction). Demonstrated experience in computational programming for producing volumetric dataset
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Recruitment Programs, as defined and detailed in 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
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, and Abilities: Experience in NGS library preparation and data analyses. Bioinformatic/programming skills (MatLab, Python, R, etc). Experience in application of Artificial Intelligence/Machine Learning
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and experience and considered with the internal peer group. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and
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independently and as a team. Preferred Knowledge, Skills, and Abilities: Knowledge in plant lipid metabolism Programming skills (MatLab, Python) Knowledge of and experience in stable isotope tracer experiments