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, and synthesis. Focus Areas (expertise in one or more is highly desirable) Autonomous laboratories for materials synthesis and characterization AI/ML for predictive modeling and inverse design Generative
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beneficiation of minerals or materials, leaching, and separation technologies is desirable. Skilled oral and written communication skills at all levels of the organization. Proven track record showing the ability
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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engineering, statistics, or a closely related field, completed within the last 0–5 years is required. Demonstrated ability to conduct independent research, including problem formulation, methodological
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Strong data analysis skills: familiarity with modeling and/or data-science tools is beneficial but not required Excellent written and verbal communication skills and the ability to work effectively in a
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modulators as well as cryogenic systems Experience designing and building experimental control and data acquisition systems Ability to model Argonne's core values of impact, safety, respect, integrity and
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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of organization. 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. Preferred
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The position is part of a new collaboration between Argonne National Laboratory, the University of Notre Dame, and UIUC, supported by the Quantum Information Science Enabled Discovery 2.0 (QuantISED
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is beneficial Experience with chemical process/plant modeling and cost analysis methodologies Experience linking models across software platforms and managing coupled workflows Proven ability