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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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will primarily involve organic synthesis lab work and analysis of new materials. Previous experience with electrochemical analysis or battery materials testing is a bonus. The candidate will design or
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, detector operations, and/or upgrade activities Strong skills in scientific programming, software development, and data analysis Ability to work effectively in a collaborative, multidisciplinary research
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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materials. This position will primarily involve organic synthesis lab work and analysis of new materials, with some supplemental electrochemical testing. Previous experience with electrochemical analysis
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engineering, or related scientific background. Experience with electrochemistry, electrochemical analysis, and electrodeposition of metals, in contact with aqueous, non-aqueous, and molten salt electrolyte
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years) in field of Physics, Astronomy, or Quantum Engineering Considerable analytical skills are necessary to develop and improve techniques for data analysis Demonstrated problem-solving skills and
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with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables. The successful candidate will work closely with staff researchers and technical teams