Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
science, computer engineering, business, science, or a related field of study and a minimum of eight to twelve years of Windows systems engineering and administration experience is required for consideration
-
a scientific, statistical, mathematical, informatics, engineering, or related quantitatively oriented field. Minimum 2 years prior experience in occupational health, industrial hygiene, or working
-
participation in an ongoing random drug testing program. 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
-
Experience in an R&D and/or testing environment Experience executing in a high-performance computing environment Use of AI/ML techniques to develop surrogate models and support scientific discovery Experience
-
participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
-
domain teams. Basic Qualifications Bachelor’s degree and 3+ year’s experience in Geography, GIScience, Computer Science, Data Science, Statistics, Engineering, or a related field with a strong quantitative
-
on scientific computing with a strong emphasis on scientific machine learning and data analysis. We are specifically interested in applicants with expertise in one or more of the following research areas
-
members, world-leading user facilities, and an extraordinary breadth of expertise spanning neutron science, computational science, materials science, nuclear energy, isotopes, biological and environmental
-
management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
-
Program. In this role, you will do more than facilitate agile processes—you’ll seek and seize opportunities to deliver value across the team and the program. Your ideas for improving efficiency