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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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passionate about development of scientific software and using it to conduct transmission and distribution system analysis. Candidates will be required to work in the following areas: Perform modeling and
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is expected to support and advance the on-going research program of the Fundamental Symmetries Group and to develop an innovative research plan to further enhance the reach of experimental fundamental
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) at Argonne National Lab (near Chicago, USA). The postdoctoral researcher will work on the development of large-scale molecular dynamics, AI and machine learning based analysis to understand ferroelectric
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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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opportunity to contribute to cutting-edge research in data management and AI technologies. Key Responsibilities: Develop and scale data infrastructure for AI applications on supercomputing systems Work
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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