Sort by
Refine Your Search
-
transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the laboratory to explore fundamental science
-
environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
-
(ORNL). This position will focus on the development, characterization, and application of engineered nanoparticles for medical isotope systems, including technologies relevant to isotope processing
-
Requisition Id 16167 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a Postdoctoral Research Associate with expertise in
-
. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate
-
PhD in materials science and engineering, physics, chemistry, or electrical engineering or a related field. Preferred Qualifications: Experience in scanning transmission electron microscopy Background
-
Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
-
), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop physics-based computational models, including Finite Element Analysis (FEA
-
Equipment Integration Group in the Building Technology Research Section, Buildings and Transportation Science Division, Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL
-
funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively