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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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analyze the results with the goal of quantifying the fundamental fluid mechanics of the systems and will work with computational modelers to develop a better understanding of the injection and breakup
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instrument programming. Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python. Familiarity with scientific productivity, as demonstrated by publications
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The Chemical Sciences and Engineering Division is seeking a Postdoctoral Appointee to mainly conduct research to develop high-energy and long-life lithium sulfur batteries under the guidance of a
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dynamics in models Present results at scientific meetings and prepare manuscripts for peer-reviewed publications Travel to the field site in North Dakota on occasion and when needed For more details on the
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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years. It has developed the GREET® (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) model for estimating energy use, air emissions, and water consumption on a life-cycle basis for
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of mineral (i.e., silicate, carbonate, and oxide) surfaces during reaction with aqueous solutions. The specific research will focus on, but not limited to, evolution of interfacial structure and chemistry