Sort by
Refine Your Search
-
integration issues, troubleshoot errors, and optimize system performance. Lead the process for registering suppliers/businesses in the Ariba system using the Supplier Lifecycle Management application and ensure
-
opportunities; model proper Environment, Safety, Security, Health, and Quality practices; and ensure a diverse and inclusive work environment where every employee feels safe, heard and appreciated—a workplace
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with
-
, reliability, and adaptability of water resources, particularly in the context of energy production and infrastructure planning. The group focuses on optimizing hydropower generation through decision-support
-
characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered
-
have a clear enthusiasm for R&D. You will perform research in robotics and mechanical systems for remote and hazardous environments. Job Duties and Responsibilities: Work individually and/or as part of a
-
: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
-
team. This role is both operational (managing and optimizing assets and services today) and visionary in charting the future of geospatial compute, orchestrating large-scale investments and partnerships
-
Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system performance, reliability, and scalability for large-scale computational