-
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
-
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
-
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
-
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
-
experimental system design, instrumentation, and automation. Knowledge and experience with analytical techniques (e.g., chromatography, spectroscopy, microscopy). Experience with fouling/scaling studies and/or
-
experimental system design, instrumentation, and automation. Knowledge and experience with analytical techniques (e.g., chromatography, spectroscopy, microscopy). Experience with electrochemical techniques (e.g
-
, 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
-
-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
-
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
-
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