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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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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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for projects related to the integration of microgrids, distributed energy resources (DERs), and advanced transmission & distribution (T&D) coordination. This role is ideal for a researcher passionate about
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pathogen variants. You will be part of a collaborative initiative between Argonne National Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), Fred Hutchinson Cancer Center (FCC), University
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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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interdisciplinary teams across DOE National Laboratories. Publish impactful research in peer-reviewed journals and support related projects within the team. Enhance professional skills, including communication
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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces