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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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the past 0–5 years) in Atmospheric Science or a related field Demonstrated expertise in one or more of the following areas: convective storms, precipitation processes, severe winds, land–atmosphere
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is available for the design, licensing and operation of MSRs and other energy systems. Develop and perform laboratory tests and electrochemical operations with molten salts that may contain actinides
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to process, analyze, and interpret modeling and/or experimental results Strong skill in problem formulation and translating research questions into quantitative modeling approaches Excellent written and oral communication
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electrolyte systems Strong skills in the synthesis and structural optimization of host materials for lithium–sulfur batteries Experience in the synthesis, processing, and characterization of solid-state
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Designing and carrying out time-resolved X-ray experiments using MEMS-based X-ray optics We are seeking highly motivated candidates who can drive the project independently while working closely with senior
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-optimization of industrial end-use systems and energy supply systems. Build reproducible computational workflows for data processing, model development, calibration, validation, and scenario analysis. Develop
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ferroelectric and other functional materials into photonic architectures for electro-optic and quantum transduction applications Perform full device processing using cleanroom techniques, including electron-beam
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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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the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts