261 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Oak Ridge National Laboratory in United States
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feedback, and exchange lessons learned. Conduct quality assessments of work, including document reviews, to verify adherence to specifications and compliance with requirements. Serve as software quality
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, physics science or
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learning. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we
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, using a questioning attitude, considering hazards for every task,and never stop learning. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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-227, and Th-228. Located about 25 miles northwest of Knoxville, Tennessee, ORNL is one of the pre-eminent multidisciplinary research facilities in the nation. ORNL is a U.S. DOE laboratory and is
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-227, and Th-228. Located about 25 miles northwest of Knoxville, Tennessee, ORNL is one of the pre-eminent multidisciplinary research facilities in the nation. ORNL is a U.S. DOE laboratory and is
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enforced. All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. As a U.S. Department of Energy
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic
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Organizational learning and technology proliferation Generate analytical assessments and technical products on emergent technological issues that are to be shared with counterparts, ORNL leadership, and sponsors
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will focus on long-term annual capacity planning to meet program objectives as well as short-term machine operations planning based on resource availability and changing operational conditions. This