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Requisition Id 16827 Overview: We are seeking a Reliability Engineer who will focus on developing, implementing, and improving a reliability and asset management program for predictive operations
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nuclear weapon fallout prediction for support of forensics and consequence management or facility accident modeling in support of response planning. The IMCS group seeks applicants for a senior research
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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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visualizing PSC metrics, PUE, trends, and alerts. Standardize DCIM data models, change records, and quality across sites. Automation, Data Pipelines & Analytics Enhance telemetry collection, health monitoring
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complex magnets via interpretable machine-learning models, and develop improved AI models that can accelerate prediction of new synthesizable magnet candidates with high energy density and critical
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and
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nuclear weapon fallout prediction for support of forensics and consequence management or facility accident modeling in support of response planning. The IMCS group seeks applicants for a senior research
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systems (proteins, enzymes, membranes, and complexes) Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity Contribute to cross-scale modeling
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and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will assist in development and deployment of advanced data management platform
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characterization, and predictive fault tolerance in HPC systems. Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific