Sort by
Refine Your Search
-
modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
-
to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
-
organizations and institutions. Our current focus is on production and processing optimization to grow production capabilities for medical and industrial radioisotopes, including Ra-226, Ac-227, and Th-228. Major
-
center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management
-
, irradiation, and post-irradiation chemical processing. The work is performed under exacting quality standards and in accordance with conduct of operations requirements for nuclear facilities, requiring strong
-
analysis teams, vendors, and personnel at the ITER headquarters in France to realize optimal design solutions in compliance with ITER requirements. Working closely with quality assurance and procurement
-
tool metrology, process monitoring, manufacturing process optimization, and related manufacturing technologies. Serve as a senior technical contributor and project lead for medium to large research
-
, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
-
library collections and services. This position primarily oversees the administration, maintenance, and optimization of cloud-based library systems and technology; supports and enhances access and discovery
-
Qualifications: Experience architecting hybrid AI systems that dynamically route between local and cloud models Hands-on experience setting up on-demand local model inference (GPU-backed or CPU-optimized