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BatPaC model Understanding of resource recovery technologies, supply chain analysis and upstream and downstream processes Knowledge of Aspen Plus or other chemical process simulation software. Ability
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frameworks (e.g., CIME/ESMF/NUOPC), wave–surge interactions, and coastal nutrient/salinity flux transport. Familiarity with leadership-class computing environments (ALCF/NERSC/OLCF). Evidence of collaborative
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. Familiarity with total scattering/PDF techniques and related software. Hands-on experience with lasers, timing/synchronization, or detector systems. Scientific programming skills (e.g., Python) for data
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listed will be considered). Knowledge in the following areas: Li-ion batteries – including fabrication of coin cells and performing electrochemical performance testing, characterization of carbonaceous
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, designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers. Argonne is a multidisciplinary national laboratory and offers an exciting campus