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publishing research findings. The project will be conducted in close collaboration with scientists within a team. Position Requirements Required skills and experience: Completed PhD (typically completed within
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The Energy Storage Research Alliance (ESRA, https://energystoragera.org/ ) is a US Department of Energy funded collaborative research project led by Argonne National Laboratory and involving 14
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management through status updates, technical research reports, project presentations, and other regular channels. Develop technical ideas and proposals to advance the understanding of molten salt
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on imported energy; and to enhance our national security. The successful applicant will play a pivotal role in advancing our research projects applying arrested methanogenesis to valorize organic waste streams
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supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other regular channels. Position Requirements Knowledge of general principles
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well as pilot plant design, installation, and operation. Experience in battery direct recycling and hydro/pyro-based recycling processes a plus. Additionally, some work may include cathode synthesis. Due
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, project presentations, and other regular channels. Position Requirements Skill in modeling, processing, and analyzing computational results to inform accompanying experimental efforts. Skill in the use
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
vulnerabilities. The Postdoctoral Appointee will be responsible for the conceptual framework, design, and implementation of these models, ensuring scalability on the DOE’s leadership computing facilities. Position
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for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE’s leadership computing facilities. The focus will be