Sort by
Refine Your Search
-
impactful research programs. Publish research findings in high-impact journals and present at scientific meetings. Contribute to proposal development and strategic program growth. Promote a culture of safety
-
Division (RRD) at Oak Ridge National Lab (ORNL). The Instrumentation and Control Software Engineering Group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. This
-
models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments
-
at Oak Ridge National Laboratory (ORNL). The group is responsible for the overall architecture needed to maintain and improve integrated control systems for the SNS machine to ensure safe, high-reliability
-
National Lab (ORNL). The Systems Engineering, Design, and Fabrication Group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. This group also provides technical
-
, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
-
high availability and performance of the SNS accelerator complex, including increasing beam power, improving reliability, and sustaining related test facility infrastructure. Attract, retain, and develop
-
safety basis development in the High Flux Isotope Reactor (HFIR) Upgrades Project Office (HUPO). HFIR is a light-water cooled and moderated research reactor that began full-power operations in 1966
-
comprehensive project documentation including charters, roadmaps, software quality assurance plans, and high-level requirements. Perform cost-benefit analyses and resource allocation planning with
-
, Git, Azure Data Studio, pandas, NumPy, and Scikit-learn. Experience with High-Performance Computing (HPC) platforms with advanced skills in SLURM-based multi-node, multi-GPU training, data parallelism