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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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diverse data sets, applying advanced analytics, and leveraging ML/AI techniques to detect, quantify, and forecast global risks affecting sourcing strategies. It will also include assessing AI-driven demand
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in artificial intelligence and machine learning, particularly for control applications Proficiency in Python Strong analytical and problem-solving skills Ability to work independently and
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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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construction of batch and flow reactors for catalysis • Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic resonance spectroscopy, infrared and ultraviolet
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experimental system design, instrumentation, and automation. Knowledge and experience with analytical techniques (e.g., chromatography, spectroscopy, microscopy). Experience with fouling/scaling studies and/or
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experimental system design, instrumentation, and automation. Knowledge and experience with analytical techniques (e.g., chromatography, spectroscopy, microscopy). Experience with electrochemical techniques (e.g
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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