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at scale Mathematical foundations of scientific AI Physics-informed and hybrid AI (AI + simulation + experimental data fusion) AI-HPC co-design, including new programming models and system architectures
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tool metrology, process monitoring, manufacturing process optimization, and related manufacturing technologies. Serve as a senior technical contributor and project lead for medium to large research
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, and Service. Basic Qualifications: A Ph.D. degree in Applied Mathematics, Computer Science, Physics, Electrical Engineering, or a related discipline. Familiarity with quantum computing theory and
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large