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recent ORNL postdoctoral researchers and ORNL staff members are not eligible to apply. Preferred Qualifications: Excellent written and oral communication skills. Ability to work independently and to
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written and oral communication skills. Proficiency with standard and advanced equipment, computer systems and software programs. Preferred Qualifications: Motivated self-starter with the ability to work
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: AS degree in related discipline and a minimum
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scientific discovery, innovation, and national capability. Our division delivers end-to-end expertise across the entire enrichment process—from the chemical synthesis of feed materials to the fabrication
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Engineering, Computer Science, Applied Math or related IT discipline. Preferred Qualifications: Excellent written and oral communication skills. Familiarity with ORNL Systems and Processes. Strong
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ability to maintain organized and accurate documentation and records. Strong written and oral communication skills. Ability to learn and apply new processes, procedures, and systems while working in a
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and
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installation, upgrades, and enhancements. Participate in pre-job briefings and work control processes, providing input to procedures and job planning. Perform preventive maintenance and operational checks
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and DOE STARS financial reporting. Handle the collection and processing of IPAC receipts for Other Federal Agencies reconciling journal entries generated in STARS and Ledger to the file transmitted