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fabrication Machine learning (ML)/artificial intelligence (AI) coursework Experience with AI/ML libraries (TensorFlow, PyTorch) Special Requirements: Work involves various physical requirements and working
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informed of class logistics. Use the Learning Management System (LMS) for monitoring registrations, determining class assignments, setting delivery schedules, printing rosters, and verifying training records
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, in-place Carbon Adsorber-halide leak testing, air flow inspections of industrial and laboratory local exhaust ventilation (LEV), and negative air machines. This position resides within the Systems
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Qualifications: PhD in radiation biology, health physics, nuclear engineering, computational biology, or related areas, with experience in performing radiation dosimetry research Experience in occupational and
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of aquatic ecosystems Publish and present research results in journals and at conferences Basic Qualifications: PhD in ecology, environmental sciences, zoology, fisheries, or a related field completed within
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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committees. Distinguished record of achievement and recognition. Preferred Qualifications: Advanced technical degree (MS or PhD) in a science or engineering field with at least 8 years of experience managing
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success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of
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inspection, robotics, photogrammetry, and/or machine learning. Experience with programming with data analysis and/or automation software (e.g. C++, Fortran, Matlab, LabView, Python). Special Requirements
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and apply basic GD&T concepts. Experience with ASME piping codes and process piping system design. Experience troubleshooting mechanical or HVAC systems. Understanding of machining and fabrication