Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Northeastern University
- University of Minnesota
- University of Washington
- Argonne
- Brookhaven National Laboratory
- The University of North Carolina at Chapel Hill
- University of California Los Angeles
- Brookhaven Lab
- Brown University
- Indiana University
- Marquette University
- Medical College of Wisconsin
- Michigan Technological University
- University of California, Merced
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Texas at Austin
- University of Utah
- Washington University in St. Louis
- 10 more »
- « less
-
Field
-
, Mixture-of-Experts; distributed training/inference (e.g. FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents. Federated & Collaborative
-
design. Optimize pipelines for performance, parallelization, and near real-time operation during beam time. Contribute to simulation tools to test imaging concepts, predict performance, and support
-
and risk assessment modeling. • Prior experience with CCUS research projects. • Familiarity with high-performance computing (HPC) and parallel computing techniques. Required Knowledge, Skills, and/or
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
-
. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
-
-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the
-
parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
-
parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing of manuscripts and grant proposals is expected. Well-organized, able