Sort by
Refine Your Search
-
Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms
-
Sciences and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL). As part of our research team, you will engage with researchers with various backgrounds such as materials science, sensing
-
projects relevant to catalysis and critical materials. Contribute to methods development and integrate data science to accelerate simulations, analyze large datasets, and extract properties. Work in multi
-
application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025. About ORNL
-
and physical processes for recovering and purifying radioisotopes from irradiated targets and waste streams. These efforts directly support the DOE IP mission to produce and distribute limited-supply
-
post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
-
national security, proliferation detection, and nuclear forensics applications. This position resides in the Collection Science and Engineering Group in the Material Characterization and Modeling Section
-
these documents directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. For full consideration, please submit materials by
-
and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory
-
chain, material flows, and development costs throughout the lifecycle of a geothermal well to identify opportunities to reduce materials, time, and environmental impact of geothermal wells. Help support