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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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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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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