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construction safety on construction job sites through electrical work process assessments, work control reviews, and electrical safety education & training. Review subcontractor safety programs/procedures, field
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safety activities by reviewing proposed and ongoing research activities. Facilitate completion of the operational activities deemed necessary through the work control process or as requested by researchers
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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process engineering in a research and development atmosphere. Projects range from creating new 3D models based on conceptual (whiteboard) designs and cleaning up legacy prints, to participating in large
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production process development for delivering stable isotopes for medical, industrial, and DOE mission critical applications. As part of our team, you will work closely with a focused group of scientists
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Engineering and Development: Lead the operation, maintenance, and advancement of manufacturing processes. Collaborate with R&D staff to provide valuable operational insights and feedback, managing process
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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Characterization Section of the Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our research team, you will investigate
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managed by UT Battelle, LLC. ORNL is an equal opportunity employer, and we value diversity in our workforce. Primary Duties/Responsibilities: Process isotopes via documented procedures in hot cell and
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managed by UT Battelle, LLC. ORNL is an equal opportunity employer, and we value diversity in our workforce. Primary Duties/Responsibilities: Process isotopes via documented procedures in hot cell and