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change on new architectures will be a key focus. Position Requirements Required skills, knowledge and experience: A recently completed (within the last 0-5 years) or soon-to-be completed PhD. in
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady
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for future Exascale architectures. All candidates are encouraged to apply if they have a genuine interest learning and enhancing these skills. Candidate is looking forward to work and engage with a diverse
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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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along with experience in developing AI foundation model development including, but not limited to, the following: Multi-modal architectures for science Data strategies for model training Model training
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of materials properties, processing, and properties for batteries. Design electrodes, electrode architecture and interfaces. Understand mass transport limiting on high-energy cells. Develop techniques and
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researchers including laboratory scientists, professors, postdoctoral researchers, and students, to facilitate the use of data management tools, develop data sharing protocols, and assist in the curation and
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scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical
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scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet priorities and deadlines set by the research sponsor
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including, but not limited to, the following: Multi-modal architectures for science Data strategies for model training Model training on large scale systems AI evaluation and safety for science Model fine