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advanced visualization pipelines, and Evaluation of trust, usability, and effectiveness of AI-assisted exploration. The successful candidate will: Research and develop AI-powered visualization assistants
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-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering, materials science or related field. Knowledge and hands-on experience in the following areas
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), in collaboration with Argonne researchers and external partners from industry and academia. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in
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communication skills, as well as the ability to work effectively in a multidisciplinary research environment. Major Action and Supporting Actions : Conducts experimental programs in in-situ and ex-situ ion
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modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed observations, gather and analyze data, and effectively report results. The position
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help shape technologies with broad relevance to future quantum systems. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics, electrical engineering
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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, materials science, metallurgy, electrochemistry, electrometallurgy, chemical
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to effectively communicate their results and insights to both scientific peers and broader audiences. Furthermore, maintaining awareness of state-of-the-art techniques and expertise within related research groups
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observations, gather and analyze data, and effectively report results. The position requires hands-on laboratory work to develop and synthesize new organic materials and to develop, carry out and analyze results
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to contribute to both the scientific and technical aspects of the ATLAS program in a highly collaborative research environment. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years