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operating experimental systems for separation processes; conducting laboratory-scale studies involving radiotracers and actinide/lanthanide separations; supporting the development and optimization of aqueous
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery
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collaborative, multidisciplinary environment that brings together expertise in quantum information science, computer systems, networking, high-performance computing, and scientific applications. The scientist
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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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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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the Emergent Materials and Processes Group. The candidate will perform basic and applied
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emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive manufacturing
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catalysis focused on the discovery of new catalytic materials and processes. Materials development will focus on elucidating the chemical and physical properties (physical, structural, thermodynamic, etc