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nuclear electricity sources for green or low carbon H2 production and storage; 4) Regional analysis of waste CO2 sources, cost estimation for CO2 capture (from industrial sources and direct air capture [DAC
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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct innovative research focused on the synthesis, recycling, and performance
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) is seeking a highly motivated Postdoctoral Researcher
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studied under external influences such as strain, polarization, electric fields, and moiré interfaces. The work will leverage the Quantum Emitter Electron Nanomaterial Microscope (QuEEN-M)—a cutting-edge
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Element Analysis for thermo-mechanical fluid-structure interaction analysis. Ability to demonstrate good collaborative skills, including the ability to work well with other divisions, laboratories, and
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passionate about development of scientific software and using it to conduct transmission and distribution system analysis. Candidates will be required to work in the following areas: Perform modeling and
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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water electrolyzers, utilizing high-throughput synthesis and characterization techniques. As a Postdoctoral Appointee, you will play a pivotal role in this exciting endeavor. Your responsibilities will
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate