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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
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will conduct Research and Development to help develop processes for the economic production of critical and rare earth metals. Perform technical work related to the development of new processes
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing electrochemical reactions and processes in molten salt electrolytes
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for a postdoctoral researcher position to develop novel coherent X-ray diDraction techniques for three-dimensional imaging of crystalline structure. The dominate eDort of the postdoctoral appointee will
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Our Biosciences division is seeking a Postdoctoral Appointee to join their team and focus on coastal hydrobiogeochemistry and synchrotron applications. As a postdoctoral appointee, you will: Develop
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The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainable innovative technologies to improve the efficiency of resource and energy
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-sponsored projects that would entail developing analysis insights critical to strategic technology RDD&D investments at the federal and state levels. Such analyses would be rooted in transparent, repeatable
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance