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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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The Industrial Technologies Group within the Energy Systems and Infrastructure Assessment (ESIA) Division at Argonne National Laboratory seeks a highly qualified Postdoctoral Appointee to conduct
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for studying solution-phase chemistry with high temporal resolution. The Postdoctoral Appointee will lead the development of a novel laser-excitation scheme for solution samples delivered by a drop-on-demand
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The mission of the Biosciences Division at Argonne National Laboratory is to conduct multidisciplinary research on fundamental biogeochemical processes related to environmental microbiology
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situ or operando characterization. Background in solution chemistry, ionic solutions, biochemistry, or soft-matter systems. Experience with lipid nanoparticles, self-assembly, colloidal systems
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. - Apply free energy and enhanced sampling methods to study molecular systems and support model training. - Collaborate with a multidisciplinary team to connect computational findings with complementary
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The Theory Group in the Physics Division at Argonne National Laboratory is seeking candidates for postdoctoral positions in nuclear theory, to begin as early as Spring 2027. The positions
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systems Excellent written and oral communication skills Experience with time-dependent density functional theory (TDDFT) and excited-state optimization, which is considered an asset Ability to model
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experience in C++ and/or python is required, along with the responsible use of AI-assisted coding tools. Strong skills in oral and written communications and presentations. A successful candidate must have the
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research in electrochemical processing and functional coatings. The primary goal of this work is aimed at advancing material design and surface modification for the electrodeposition of hard-to-deposit