80 structural-maintenance-planning Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
-
program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
-
will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
-
medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available
-
meetings Ensure compliance with environment, safety, health, and quality program requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
-
scientific domains. Roles and responsibilities include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive
-
National Laboratory (ORNL). Major Duties/Responsibilities: Interacting with a team of experts at ORNL on projects evaluating the U.S. Department of Energy Weatherization Assistance Program and its efficacy
-
candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
-
computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
-
support the development of design rules for engineering microbes for energy and environmental applications. ORNL’s multidisciplinary research environment brings together expertise across biology