41 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date
-
three letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdoc recruitment@ornl.gov with the position title and number
-
for radiation protection and develops many of the biokinetic and dosimetric models recommended by the International Commission on Radiological Protection (ICRP) and applied by U.S. federal agencies
-
Environmental Systems Science Directorate (BESS) at Oak Ridge National Laboratory (ORNL) to develop genetic tools for non-model microorganisms to enable genome engineering in energy- and climate-relevant
-
simulation and analysis. As an ORNL postdoctoral fellow you will have access to state-of-the-art facilities for isotopic labeling, biophysical characterization, and X-ray diffraction, as well as access
-
seeking a postdoctoral researcher with expertise in distributed intelligence, reasoning models, LLMs, workflow management, and distributed systems to contribute to the development of advanced decentralized
-
. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
-
integration and utilization. Group initiatives encompass innovative sensor technologies, advanced modeling techniques, and precise control mechanisms specifically designed for the grid edge. Research promotes
-
, and reuse in the biosciences through developing and implementing metadata frameworks and ontological models. As part of our interdisciplinary team within the Workflows and Ecosystem Services group
-
durability testing of cementitious materials. Experience in using modeling tools to predict cementitious materials characteristics and performance. Experience in 3D printing applications using cementitious