80 decision-making-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
candidate will manage several projects concurrently, help shape new research directions within their field, and collaborate closely with ORNL staff, industry professionals, and academic partners. Based within
-
quantum science, quantum computing, or related areas. Candidates who have completed all Ph.D. requirements and expect to receive their degree within the next few months are also encouraged to apply. Strong
-
, conduct experimental campaigns, perform materials synthesis and analysis, sub-component fabrication, process optimization and integration, and prepare technical documents and research publications. Present
-
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
-
. 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
-
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