Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Oak Ridge National Laboratory
- Lawrence Livermore National Laboratory
- Michigan State University
- National Renewable Energy Laboratory NREL
- Simons Foundation
- University of Oklahoma
- Argonne
- Chalmers University of Technology
- Duke University
- Northeastern University
- Purdue University
- The University of Iowa
- The University of Texas MD Anderson Cancer Center
- University of Central Florida
- University of Copenhagen
- University of Oklahoma Health Science Center
- University of Washington
- Yale University
- 8 more »
- « less
-
Field
-
systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into
-
algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
-
with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
-
, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
-
, ecology, microbiology, engineering, bioinformatics, data mining, parallel programming, supercomputing, or cloud computing. Application Instructions How To Apply Interested individuals should send
-
and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team environment. COMPENSATION AND
-
, engineering, bioinformatics, computer science, mathematics, statistics, data mining, parallel programming, supercomputing, or cloud computing . Application Instructions How To Apply Interested individuals
-
and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
-
learning, high-performance and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team
-
University of Oklahoma Health Science Center | Oklahoma City, Oklahoma | United States | 25 days ago
parallel recordings (Gong et al. Science, 2015; Beck et al. Scientific Reports 2019); (2) The lab creates fast and accurate algorithms for processing large imaging datasets (Bao et al. Nature Machine