Sort by
Refine Your Search
-
of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
-
science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information
-
deep learning, including distributed training and/or large-scale inference using modern AI frameworks such as PyTorch. Demonstrated experience with high-performance computing systems, including multi
-
telemetry usable at scale. Drive the technical roadmap, release process, and architecture of the software. Multi-Institutional Project and Technical Leadership: Serve as ORNL's technical lead for cross
-
Duties/Responsibilities: Support of the ORNL Program Director, Subprogram Director, and Center Directors in strategic areas from inception to full scale operation. Tracking and reporting of remaining DOE
-
an excellent opportunity to collaborate with multi-displinary domain scientists and advance large-scale scientific AI/ML models. Major Duties/Responsibilities: Research and development of scalable AI, ML, and
-
characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating
-
Requisition Id 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier
-
responses to current or imposed environmental conditions. Research may leverage: Laboratory, growth chamber and field experimental data, and/or new measurements to quantify molecular to ecosystem scale
-
multidisciplinary projects from concept through completion. Responsible for overseeing facility design of a large-scale, high‑security data center. The ideal candidate will have a background in design execution and