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development and application of experimental virology methods to predict viral evolution and identify emerging pathogen variants. This role is part of a highly collaborative initiative involving 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
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of Large Language Models (LLMs) for scientific use cases. This position focuses on advancing LLM capabilities to address complex challenges across a range of scientific domains. As part of a
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all areas of experimental condensed matter physics will be considered, particular emphasis will be placed on the dynamical studies of 2D materials and their functionalities. This postdoctoral position
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computational science expertise. The ALCF Performance Engineering Group invites applications for a postdoctoral appointee to develop and scale profiling capabilities for large, heterogeneous HPC workflows
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increasing independence in defining research problems, developing methodologies, and driving publications. The role values strong research judgment and analytical thinking, complemented by effective use
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We invite applications for a postdoctoral position in the Functional Coatings Group in the Applied Materials Division at Argonne National Laboratory to conduct advanced research in energy storage. A
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materials recovery,CO2 electrolysis and fuel cells. Experimental work will involve design, characterization, and degradation studies of model interfaces that can help elucidate their degradation mechanisms
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in materials for electrochemistry. While the focus in on computational expertise, this position will involve some experimental work in adapting workflows for automation and artificial intelligence
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specializing in energy economics and supply chain analysis. This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials and