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the opportunity for fellows to perform research in a scientifically and technologically rich, mission-driven environment; present and publish research; contribute to the overall research efforts of the Laboratory
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synthesis, characterization, beamline science, theory, and computing Contribute to the development of scalable computational and data workflows spanning edge, beamline, and HPC environments Publish in peer
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effectively collaborate to conduct research in a highly interdisciplinary environment of materials scientists, physicists, and chemists This job description documents the general nature of work but is not
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environment that encourages innovation and fosters professional growth. Active participation in a dynamic network of scholars and industry experts committed to addressing critical global challenges through
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models, or adaptive learning workflows for scientific or engineering applications Strong interest in working closely with experimental researchers in a laboratory-centered environment Evidence of
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environment, with creativity and strong organizational skills Commitment to upholding Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork Preferred Qualifications: Experience applying AI/ML
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or cloud environments. Experience with complex scientific datasets and reproducible analysis or simulation workflows. Effective written and oral communications skills. Demonstrated ability to work both
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preparation of manuscripts, reports, and presentations; present findings at internal meetings and external conference Collaborate in a multidisciplinary team environment spanning experimentalists, theorists
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modeling and techno-economic assessment as appropriate. The candidate will work independently under general guidance, collaborate effectively within a multidisciplinary team environment, and prepare
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micro/nanofabrication and process development in cleanroom environments Proficiency in device-level electrical measurements and characterization techniques Experience in device modeling using COMSOL