Sort by
Refine Your Search
-
(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
-
Requisition Id 17091 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to join the Earth Systems Modeling Group (ESMG
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
-
interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth and Environmental Sciences, Ecology, Biosciences, Botany, Geosciences, or a related
-
: Conduct research and develop next-generation CFD methods (with finite volume and finite element techniques) and models for a variety of nuclear energy systems, using world-leading high-performance computing
-
passionate about leveraging their experience to enable real-world, quantifiable impacts across a variety of U.S. industries including chemical production, forest products, and critical minerals. The candidate
-
separation, membrane contactors, adsorption, or packed-column systems; extraction, separation, and purification of critical materials, including rare-earth elements and materials used in semiconductor and
-
Spallation Neutron Source and Battery Manufacturing Facility. This position will support the laboratories mission of world leading interfacial spectroscopy as a key part of energy storage science and
-
supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and