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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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, and efficiency of our systems, while also participating in project planning and execution. The Mid-Level Systems Engineer will play a key role in optimizing system performance, troubleshooting issues
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Monitor and correct material consumption reports, ensuring accurate backflush and scanning data within the ERP/WMS Support optimizing warehouse layouts and workflows to meet current operational needs while
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ArcGIS Experience Builder, Dashboards, Survey123, and related tools. Administer and optimize enterprise geodatabases, including SQL views, schema design, privileges, versioning, and replica management
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, services, cost savings, and optimizations that enhance research outcomes and reduce IT burden for researchers Collaborate with a diverse, multidisciplinary team including photogrammetrists, geographers
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: Develop, maintain, and optimize LabVIEW-based software for data acquisition, monitoring, and control applications across new and existing systems. Lead the design, integration, and deployment of real-time
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and lead technical projects from conception to completion. This includes planning for hardware upgrades, new technology implementations, and system performance enhancements. Performance optimization and
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. Optimize system and component designs for performance and safety. Develop agentic workflows for scientific computing. Author peer-reviewed papers, technical reports for internal and external release and
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application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader