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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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quantum emitter systems This project benefits from Argonne’s world-class research infrastructure, including: Dilution refrigerators Adiabatic demagnetization refrigerators Low-noise DC and RF measurement
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by recent
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Knowledge and experience in aqueous lanthanide/rare earth chemistry preferred but not required Experience with rotating mechanical equipment preferred but not required Job Family Postdoctoral Job Profile
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-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability
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, primarily for recycling used nuclear fuel to support the deployment of advanced reactors. The selected candidate will develop and optimize novel separations chemistries to recover actinide and rare earth
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characterization, and machine learning. The role offers the opportunity to leverage Argonne’s world-class scientific capabilities and engage with a strong network of internal and industry collaborators. Position
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. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it
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. The group works closely with industry partners and academic collaborators to address real-world manufacturing challenges and develop next-generation energy-storage and conversion solutions. The candidate will
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research prototypes to real-world deployment environments, including cloud, secure enclaves, trusted research environments, and leadership computing platforms. Candidates should be comfortable working in a