Sort by
Refine Your Search
-
length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
-
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
-
of advanced materials. Research efforts will include the application of density functional theory packages and in-house codes, and the development of supplemental numerical tools, to describe
-
testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made
-
the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section
-
and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a
-
Requisition Id 16061 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
-
research supporting the Office of Electricity (OE), Grid Deployment Office (GDO), Office of Cybersecurity, Energy Security and Emergency Response (CESER), and Office of Energy Efficiency and Renewable Energy
-
. Intelligent Sampling for Federated Learning: Investigating frameworks (such as SICKLE) for intelligently sampling cross-facility extreme-scale data to enhance federated learning workflows with platforms like
-
Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and