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The recent upgrade of the Advanced Photon Source has introduced the world’s brightest synchrotron x-ray source. The X-ray Science Division (XSD) at Argonne National Laboratory invites applications
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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partner organizations. ESRA targets the fundamental science of beyond-Li-ion energy storage technologies with the aim to improve their capacity, durability, and sustainability. ESRA has an immediate opening
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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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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advanced techniques Plan and execute research on battery materials using structural, chemical, mechanical, and electrochemical methods Maintain adherence to all Laboratory and Divisional Environmental
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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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