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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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, MOF synthesis, and analytical techniques such as: Nuclear Magnetic Resonance (NMR) Spectroscopy Infrared (IR) and Raman Spectroscopy Powder X-Ray Diffraction (PXRD) Preferred Skills Demonstrated ability
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-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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ceramic engineering including hands-on, practical laboratory experience with material synthesis and processing, and analytical methods is required. Knowledge and experience in the following areas are highly
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at Materials Engineering Research Facility (MERF) and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore mechanisms behind
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analytical skills, and a creative, convergent approach to analysis. This position offers a unique opportunity to work at the forefront of energy and industrial systems modeling, contribute to multi
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in spatial analysis and data visualization Computer programming skills relevant for data manipulation and analysis Experience with creating and using complex data-driven analytical models using R