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characterization with advanced computational chemistry tools, including molecular dynamics, density functional theory and Grand Canonical Monte Carlo simulations. Position Requirements A recent or soon-to-be
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design, advanced modeling and high-performance computing, mathematics and data analytics, AI/ML algorithm development, and accelerator operations Ability to model Argonne’s core values of impact, safety
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tests and electrochemical operations with molten salts that may contain actinides and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand
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, materials science, or a related discipline Background and/or interest in one or more of the following areas: critical elements and materials, electrical double layer theory and applications, solid–liquid
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Physics, Materials Science, Chemistry, Chemical Engineering, Applied Physics, or a closely related field with a focus on computational materials modeling. Density Functional Theory (DFT) for surfaces and
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years ) Ph.D. in Engineering, Operations, Computer Science, Mathematics or a related field. Knowledge of optimization, power systems operations and planning, electricity markets, issues surrounding
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking to hire a postdoctoral appointeee in the Separations and Bioprocessing group. This position will have two focus areas. One is to support an effort to recycle graphite from Li-ion batteries to produce graphene and...