Sort by
Refine Your Search
-
Qualifications: Knowledge of tools such as Grafana, Polars, or Pandas for monitoring and analyzing large-scale workflow execution and provenance data. Familiarity with synthetic workflows, graph-based reasoning
-
-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
-
and analyzing large data sets from state-of-the-art nuclear physics instruments. Experience using pulse-height and waveform data acquisition systems. Experience analyzing data from gamma-ray tracking
-
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
-
on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
-
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
-
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
-
Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
-
technical assistance support for industrial sites, and other large energy users, installing electricity and thermal energy generation and storage technologies at their facilities. The MEERA Group actively
-
techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable