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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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computing environments Demonstrated ability to publish scientific research Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork Job Family Postdoctoral Job Profile
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environment. Demonstrated strong analytical and problem-solving skills. Experience in studying geological or biological systems, and tomography are beneficial. Programming expertise in Python or other
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environment. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus in Lemont, Illinois. US citizenship: To
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considered). A proven track record demonstrated through journal publications and patent applications. Skilled communication skills at all levels of the organization. Ability to work in a team environment
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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cryogenic environments Participate in synchrotron-based characterization and data analysis Contribute to high-impact publications, internal reports, and scientific presentations at conferences and workshops