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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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passionate about development of scientific software and using it to conduct transmission and distribution system analysis. Candidates will be required to work in the following areas: Perform modeling and
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(Californium Rare Ion Breeder Upgrade) facility or from the Argonne In-Flight Radioactive Ion Separator, RAISOR. In addition, members of the group are leading experimental programs at the Facility for Rare
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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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, Physics, or Chemistry. Knowledge of experimental fluid dynamics. Knowledge of mechanical engineering concepts and procedures. Computer and programming skills, including data processing and manipulation
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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programming (e.g., Excel VBA, Python, or MATLAB). Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is
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at scientific conferences and in peer-reviewed literature. Position Requirements Ph.D. degree level with 0 to 5 years of experience or equivalent in geochemistry, materials science, or a related field Knowledge
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The neutron and x-ray scattering group in the Materials Science Division at Argonne National Laboratory has an open position for a postdoctoral appointee. The research will be focused on studying