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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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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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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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simulations. You have experience in programming, particularly using Python. Your research experience is demonstrated through publications, conference records, GitHub repository records, or other public
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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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stresses. This project is part of the newly established Plant Immunity Research Initiative (PIRI), a DOE-funded program aimed to resolve devastating diseases that affect bioenergy crops. PIRI’s mission is to
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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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. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
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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