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on supercomputers. Experience in writing technical papers and presentations. Ability to create, maintain, and support high-quality software is essential. The successful candidate will be expected to work with and
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The Chemical and Fuel Cycle Technologies division at Argonne is seeking a Postdoctoral Appointee to join a multidisciplinary team developing molten salt-based chemical and electrochemical processes
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in interface science, vapor deposition, and cluster synthesis. The research
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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structure-function analysis, and viral evolution Familiarity with deep mutational scanning datasets and methods for quantifying viral immune escape Strong publication record in relevant fields Ability to work
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engineering and nuclear-chemical engineering systems Create new reduced-order models and submodels related to the fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking an exceptional Postdoctoral Researcher to join the Electron & X-ray Microscopy Group in a core position within the
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in electrochemistry and surface science. The research project, within
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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environmental analysis, and the ability to identify topics and data sources and engage experts to conduct research. Capable of identifying key features of complex systems and processes. Well-developed problem