Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- Portugal
- Belgium
- Norway
- United Kingdom
- Spain
- Austria
- China
- Singapore
- United Arab Emirates
- Denmark
- Italy
- Netherlands
- Poland
- Switzerland
- Greece
- Japan
- Canada
- Finland
- Hong Kong
- Luxembourg
- Malta
- Mexico
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Cyprus
- Czech
- Estonia
- India
- Ireland
- Morocco
- Romania
- Uzbekistan
- 28 more »
- « less
-
Program
-
Field
-
at laboratory and pilot scale, establishing robust process models, and developing targeted optimization strategies. The most promising enhancements will be assessed for industrial-scale implementation
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
-
enterprise-wide policies, systems, and performance metrics Proven track record of achieving measurable financial performance improvement, cost optimization, and operational efficiency. Demonstrated success
-
include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
-
-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
-
. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
-
and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
-
engineering. The work involves simulations for quantum error correction and mid-circuit operations, and will require both low-level optimization skills (e.g., SIMD, GPU, FPGA) and an understanding of quantum
-
located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one