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without constant direction in the performance of routine tasks. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Considerable: Experience in optical spectroscopy
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Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job
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environment, working alongside experts in photocatalysis, X-ray spectroscopy and scattering, and inorganic materials synthesis. This collaborative framework supports the integration of complementary insights
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platform that integrates atomic-resolution scanning transmission electron microscopy with cathodoluminescence and photoluminescence spectroscopy, electron energy loss spectroscopy, and ultrafast electron
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on integrating and analyzing diverse data types to support scientific discovery Research and implement data management solutions using advanced storage systems Evaluate and optimize AI applications for performance
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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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for projects related to the integration of microgrids, distributed energy resources (DERs), and advanced transmission & distribution (T&D) coordination. This role is ideal for a researcher passionate about
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred: Familiarity with chemical diagnostic techniques and the safe handling of air-sensitive materials Proficiency in data
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of impact, safety, respect, integrity, and teamwork. This level of knowledge is typically achieved through a formal education in materials science, physics or related discipline at the PhD level or