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successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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candidate will focus on developing terahertz cavity-magnonics platforms based on low-damping antiferromagnetic oxides, with an emphasis on controlling and coupling antiferromagnetic spin excitations using
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Proficiency in low-noise cryogenic measurement techniques spanning millikelvin to few-kelvin temperatures Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred
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experiments with active load control and interpreting the resulting microstructural evolution. Experience studying corrosion effects on materials relevant to nuclear systems. Experience with advanced materials
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separations in controlled environments such as radiological hoods, gloveboxes, and hot cells Design, assemble, operate, troubleshoot, test, and optimize experimental systems and specialized apparatus, including
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technical reports Contribute to integration of instrumentation, controls, and data acquisition systems for experimental platforms Work with aqueous and organic chemical systems and support characterization
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active