193 structural-engineering-"https:"-"https:"-"https:"-"UNIV" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
directly to the Deputy for Science and Technology, will design and implement a multi-tier data strategy encompassing the full data lifecycle, curation, analytics, AI enablement, and compliance automation
-
quantum computing efforts will be critical. This position resides in the Materials Theory Group, Foundational and Quantum Materials Science Section, Materials Science and Technology Division (MSTD
-
, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
-
: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training
-
to DOE sponsors, industrial partners, and international collaborators. Basic Qualifications: PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. A
-
ORNL research through delivery of innovative, cost-effective technology solutions, providing an efficient IT user experience, while continuously improving performance, reducing complexity and risk. You
-
benefit both the Lab and the private companies. As part of a team with wide-ranging expertise in fusion science and/or engineering and technology, the candidate will be responsible for leading ORNL’s
-
fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in nuclear engineering, mechanical engineering, or a related field with 12
-
experts. You will bring creative thinking, teamwork, and machine learning skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and
-
Qualifications: Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years. Demonstrated expertise in computed tomography (CT), with experience in sparse-view and