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-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding relationships between manufacturing intent
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-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding relationships between manufacturing intent
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/maintenance of detailed, logic driven, resource loaded schedules, Development/maintenance of summary and detailed cost estimates, Risk identification and management, to include Monte Carlo simulations, Change
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Division, and Neutron Technologies Division to support execution of the HFIR Beryllium Outage planned for 2029–2031. Oversee project controls, including work breakdown structure, cost estimating, actual
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Requisition Id 16186 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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Requisition Id 15693 Overview: We are seeking a Group Lead for our Data Acquisition (DAQ) Software Group who will focus on managing and leading a team of control software engineers to develop
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environment setup, module management, data staging, and cleanup. Scripting and Tooling: Develop command-line tools and automation in Python, Bash, and/or C/C++ to encapsulate workflow steps, manage
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estimates. Identifying and managing risks, including performing Monte Carlo simulations as needed. Managing change control processes. Preparing various status reports, including those based on Earned Value
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hazard identification, hazard categorization, hazard analysis, accident analysis, and establishment of hazard controls and their functional requirements. Coordinate with facility operations personnel and
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, health, and safety standards, as well as security protocols, especially in relations to government projects. Experience in budget development, cost control, and financial reporting. Must have strong