327 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Oak Ridge National Laboratory in United States
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and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). Working in support of the U.S. Department of Energy’s (DOE) Office of Fusion Energy Sciences (FES), Office
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. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up
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optical systems, thermal imaging, pyrometry, spectroscopy, high speed imaging or acoustic sensing. Familiarity with data analytics, machine learning, or signal processing. Knowledge of metal additive
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positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
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environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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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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within the overall machine design. The team membership is cross-functional, including representatives from engineering, operations, manufacturing, quality, reliability, and any other necessary discipline
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. Excellent computer skills, including experience performing complex radiological protection calculations. Past or current service in an internship position with a DOE facility. Experience within the DOE
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to a general science-interested audience as well as a more scientifically trained audience such as researchers and sponsors. Should also have a firm grasp of standard business computer software (e.g