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will support this mission by building and applying modular, physics-informed frameworks to explore design tradeoffs, evaluate novel process concepts, and inform early-stage technology development and
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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at Materials Engineering Research Facility (MERF) and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore mechanisms behind
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Argonne is a multidisciplinary science and engineering research center, where talented scientists, engineers, and business professionals work together to answer the biggest questions facing humanity
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researchers performing molecular modeling and machine learning activities. The candidate will be expected to perform ion conductivity experiments with thin film polymer electrolytes. The candidate will use
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The Chemical Sciences and Engineering Division is seeking applicants for a postdoctoral appointee who will conduct computational research in Selective Interface Reactions (e.g., atomic layer
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-sponsored projects that would entail developing analysis insights critical to strategic technology RDD&D investments at the federal and state levels. Such analyses would be rooted in transparent, repeatable
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this work we investigate how molecular materials coupled to solid-phase scaffolds may influence molecular motion, photoinduced kinetics, charge dynamics, and assembly durability. The work will target
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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ceramic engineering including hands-on, practical laboratory experience with material synthesis and processing, and analytical methods is required. Knowledge and experience in the following areas are highly