Sort by
Refine Your Search
-
properties, validating simulations, and providing guidance on formal design, test planning, data analysis, and fabrication in collaboration with stakeholders. The role also involves collaborating with external
-
of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community
-
and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology
-
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
-
strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
-
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
-
to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
-
/or Python for model development, automation, signal processing, and large-scale data analysis. Active or eligible for a U.S. Department of Energy (DOE) Q clearance. Special Requirements: Visa
-
solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy
-
-ResSim. Hydrodynamic and water quality simulation using tools such as CE-QUAL-W2, Delft3D, and SNTEMP. Hydrologic modeling and hydroclimate impact assessment, including handling of large meteorological