78 decision-making-robot-"https:" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
-
monitoring, or manufacturing decision-making. Collaborate with ORNL researchers, technical staff, students, industry partners, and external collaborators to execute project tasks and deliver research outcomes
-
deadlines, and adapt to ever changing needs. Special Requirements: Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent
-
of integrated data and AI workflows that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and
-
interacting teams of researchers. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before
-
massively parallel algorithms and code performance profiling are a plus. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
-
., difference-in-differences). Contributions to reports, presentations, and peer-reviewed journal articles. Collaborate with ORNL scientists involved in these efforts, to gain expertise in the economic analysis
-
to support data-driven design decisions and performance tuning. Explore trade-offs in DDR and HBM usage patterns, and propose architectural improvements for mixed-memory and bandwidth-intensive workloads
-
marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive
-
candidate will have the opportunity to assist ORNL scientists involved in these efforts, to gain expertise in biokinetic and dosimetric modeling, and to assist and eventually lead in the preparation of open