Sort by
Refine Your Search
-
more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
-
, providing visibility of what successful looks like for roles within the group. Establish an environment where learning never stops, honest mistakes are treated as opportunities to learn, and challenges
-
. Preferred Qualifications Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups. Expertise in designing systems that support red
-
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
-
for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
-
certification in project management. Ability to learn new software skills effectively (PowerBI, RESolution). Visa Sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and
-
, management assessments, event reporting, and lessons learned to support business operations and management system performance improvement. Interface with other Battelle and DOE National Laboratories
-
. Work with stakeholders to implement corrective actions, best practices, and lessons learned into existing processes. Flow down requirements from codes, standards, Federal Regulations, and contract
-
(DoD) or other government agencies is highly desirable. Active Q and/or TS clearance is a plus. Demonstrated ability and willingness to acquire new knowledge and learn new skills. Strong written and oral
-
must be able to acquire and maintain appropriate training and qualifications to work in these areas and follow all safety instructions Excellent written and oral communication skills Motivated self