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an ambitious research agenda that advances trustworthy, interpretable, and scalable AI for science while collaborating with leading experts in machine learning, optimization, scientific computing, domain
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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of major IT initiatives. • Work with staff and customers to develop and/or review solutions. • Troubleshoot and debug various Kubernetes workloads, CI/CD pipelines, and implement solutions to optimize
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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