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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 Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
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scale-up strategies. Areas of application include (but are not limited to) chemicals manufacturing and critical materials separations. This role offers the opportunity to shape foundational modeling
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to three years of experience or equivalent in the scientific application of this knowledge and practical laboratory experience. To perform the essential functions of this position successful applicants
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opportunity to contribute to cutting-edge research in data management and AI technologies. Key Responsibilities: Develop and scale data infrastructure for AI applications on supercomputing systems Work
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valuable resources. To do so, we identify new mechanisms to drive selective electrocatalysis in complex aqueous mixtures. Experimental work involves precision atomic layer deposition synthesis and
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, including new solvents, additives, and salts, that offer enhanced thermodynamic and/or kinetic stability at electrode/electrolyte interfaces. The ultimate objective is to enable long-term cycling performance
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We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing