Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- Northeastern University
- University of Minnesota
- Brookhaven National Laboratory
- Brown University
- The University of North Carolina at Chapel Hill
- University of California Los Angeles
- University of Kansas
- Argonne
- Brookhaven Lab
- Carnegie Mellon University
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- Nature Careers
- University of California
- University of California, Santa Cruz
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- University of Utah
- Virginia Tech
- 12 more »
- « less
-
Field
-
-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
-
scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five
-
developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
-
techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable
-
other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer
-
-driven experiment design. Optimize pipelines for performance, parallelization, and near real-time operation during beam time. Contribute to simulation tools to test imaging concepts, predict performance
-
mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
-
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
-
as part of a larger team of engineers and scientists working on cutting-edge advancements in heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received