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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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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other regular channels. Position Requirements Knowledge of general principles
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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct innovative research focused on the synthesis, recycling, and performance
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analytical skills, and a creative, convergent approach to analysis. This position offers a unique opportunity to work at the forefront of energy and industrial systems modeling, contribute to multi
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will join a team developing and testing material separations and recycling operations and will help contribute to that team. The successful candidate is not required to have but would benefit from a good
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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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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. 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