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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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processing, additive manufacturing). Knowledge of deformation mechanisms such as dislocation slip, twinning, and precipitation strengthening. Special Requirements: Applicants cannot have received their Ph.D
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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in AI/ML for materials discovery and process optimization would be a plus Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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optimization of machine learning workflows. Collaborating with world-class scientists, you will enhance your expertise in resource optimization, scalable computing techniques, fault resilience, and advanced AI
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deadlines, and adapt to ever changing needs. Special Requirements: Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent
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details. Special Requirements: Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative