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Argonne National Laboratory invites applications for the position of Director of the Energy Storage Research Alliance (ESRA), a multi-partner Department of Energy-Basic Energy Sciences (DOE-BES
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infrastructure, and domain science. The candidate will have established expertise across automated and autonomous experimental platforms and AI in addition to leadership of multi-disciplinary research programs and
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results at conferences and publish in peer-reviewed literature Collaborate effectively within a multidisciplinary and multi-institution research environment Position Requirements Recent or soon-to-be
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of the Accelerator Systems Division (ASD), Advanced Photon Source (APS) is hiring a postdoctoral researcher for a multi-year appointment. The postdoctoral researcher will work to develop and deploy advanced AI/ML
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required. Ability to work effectively in a collaborative, multi-institutional research environment is required. Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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experiments to advance the technical understanding of material interactions and corrosion behavior. Perform SEM/EDS analyses of prepared and reacted specimens to relate changes in microstructures of multi-phase
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infrastructure, and domain science. The candidate will have established expertise across automated and autonomous experimental platforms and AI in addition to leadership of multi-disciplinary research programs and
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, competitive, and energy-efficient U.S. manufacturing systems. The appointee will be expected to lead core model development and as needed, help expand capabilities in co-optimization of industrial end-use and
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will primarily focus on utilizing and advancing capabilities with the laser heating system at beamline 16-ID-B, complemented by monochromatic and white-beam Laue multi-grain measurements at 16-BM-D
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fast-moving research setting where methods development, software implementation, experimentation, and scientific communication are all important parts of the role. Core Responsibilities: Conduct research