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
-
(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
-
PhD in materials science and engineering, physics, chemistry, or electrical engineering or a related field. Preferred Qualifications: Experience in scanning transmission electron microscopy Background
-
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
-
), 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
-
science and engineering, physics, chemistry, electrical engineering, or a related field completed within the last 5 years Preferred Qualifications: Experience in atomic force microscopy. Fundamental
-
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
-
in electrical engineering, nuclear engineering, chemistry, physics, or a related field completed within the last 5 years Demonstrated expertise with digital signal processing in the time- and frequency
-
comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks