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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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ecology and should preferably have some experience working on interdisciplinary projects. Proficiency in oral communication and technical writing, as demonstrated by the candidate’s peer-reviewed
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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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and Python) Knowledge of data analytics and statistical methods Demonstrated strong scientific writing skills and oral communication Ability to work both independently and collaboratively as a team
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within the last 5 years or upcoming year. A strong background in condensed matter physics and materials science. Excellent written and oral communication skills are needed. The ability to work
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and oral communication skills Strong organizational skills and the ability to coordinate activities of technical support personnel and undergraduate interns The ability to work independently and as part
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-ray nano-CT characterization of materials is beneficial Experience in impedance spectroscopy is beneficial Excellent written and oral communication skills and the ability to work as part of a
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interdisciplinary teams across DOE National Laboratories. Publish impactful research in peer-reviewed journals and support related projects within the team. Enhance professional skills, including communication
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excellent problem-solving and communication skills. Ability to lead research projects, establish collaborations, and work with multidisciplinary research teams. Ability to model Argonne’s core values of
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robust 3D imaging technique suitable across diverse scientific communities. This project has two interconnected aims. The first is to create an accurate “digital twin” of the experiment through end-to-end