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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance engineering
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for the proposed XRS microscopy instrument, including: performance requirements (throughput/solid angle, energy resolution, imaging/spatial resolution, stability), spectrometer architecture and scaling plan
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field Strong foundation in electrochemistry, electrochemical engineering, and chemical processing Demonstrated experience in mathematical modeling of electrochemical systems; knowledge of solid mechanics
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staff scientists, engineers, postdocs, and students, with an active research portfolio that spans: Leading electron-scattering experiments at Jefferson Lab (CLAS12, SoLID, Hall A, B, and C) Major
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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apply funding from federal agencies (e.g., the Department of Energy and National Science Foundation). A successful candidate should have a solid background in power system engineering, optimization
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approaches. Position Requirements Recent or soon-to-be-completed (typically completed within the last 0-5 years) Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a
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oxides from molten salts, evaluate the purity and morphology of the products, and develop underlying understanding of the reaction kinetics and mechanisms behind these processes. As a part of this team
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Argonne National Laboratory seeks a postdoctoral researcher to help build a high-resolution coastal-urban flooding modeling capability within the Energy Exascale Earth System Model (E3SM
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, mechanical engineering, artificial intelligence, or related engineering disciplines Experience with state of the art AI methods for robotics Experience with robotics research strongly preferred Experience in