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candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular
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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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A position in theory and computational modelling in the Non-Equilibrium Soft and Active Matter group in the Materials Science Division is now open. We encourage applicants working in soft, polymeric
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Knowledge, Skills, and Experience: Proficiency in mathematical analysis and operator theory. Experience working with microelectronics. Experience in conducting synchrotron experiments and analyzing
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scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical
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deposition (ALD). The project involves performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms
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The Particle Theory Group of the High Energy Physics Division at Argonne National Laboratory invites applications for a position at the rank of Assistant Physicist, equivalent to a university tenure
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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including engineering, economics, and environmental science. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in ASPEN Plus® and/or Julia
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international conferences. Position Requirements Recently completed Ph.D. (typically within the last 0-5 years, or to be awarded in 2024) in Computer Science, Applied Mathematics, or a closely related field