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; Developing and evaluating open source software, AI tools, and computational workflows that support evidence synthesis and other forms of meta-research; Advancing transparency, reproducibility, and reporting
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at Carnegie Mellon University invites applications for a postdoctoral researcher to lead projects at the interface of computational chemistry, machine learning, reaction mechanism elucidation, and automated
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of an input database representing the U.S. energy system. Help coordinate modeling and analysis activities across a large, interdisciplinary team and contribute to open-source software management, including
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of an input database representing the U.S. energy system. Help coordinate modeling and analysis activities across a large, interdisciplinary team and contribute to open-source software management, including
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De Graef’s group in the Materials Science and Engineering Department in the College of Engineering. The postdoc will make use of the experimental and computational tools in the Materials