321 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Oak Ridge National Laboratory in United States
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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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Expertise in machine learning and big data analysis Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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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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candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk
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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