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, primarily for recycling used nuclear fuel for use in advanced reactors. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as metal oxide reduction and
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of chemistry and/or chemical engineering is required. Demonstrated skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting
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, you must have obtained your PhD in computer science or engineering, the physical sciences, or a related field within the last three years. Comprehensive programming proficiency, preferably in Python
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices
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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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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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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case
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The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing multi-physics and multi-scale CFD simulations of aviation gas turbine
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In the Nanoscale Magnetic and Electronic Heterostructure Group of the Materials Science Division (MSD) we aim to understand the novel and emergent behavior in nanoscale magnetic and electronic