Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Argonne
- University of Washington
- Stanford University
- University of North Carolina at Chapel Hill
- Texas A&M University
- Stony Brook University
- Baylor College of Medicine
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- The University of Arizona
- University of Minnesota
- Carnegie Mellon University
- Nature Careers
- University of Maryland, Baltimore
- Texas A&M AgriLife
- The University of North Carolina at Chapel Hill
- University of Central Florida
- University of Houston Central Campus
- Broad Institute of MIT and Harvard
- Brookhaven Lab
- Brookhaven National Laboratory
- DePaul University
- George Washington University
- Indiana University
- Lawrence Berkeley National Laboratory
- Pennsylvania State University
- Princeton University
- University of California
- University of California Berkeley
- University of Florida
- University of Houston
- University of Oklahoma
- Virginia Tech
- Yale University
- California Institute of Technology
- Caltech
- Cornell University
- Dartmouth College
- Eastern Kentucky University
- Georgia Institute of Technology
- Harvard University
- Loyola University
- Massachusetts Institute of Technology
- Michigan Technological University
- Missouri University of Science and Technology
- New York University
- Northwestern University
- The Ohio State University
- University of California Merced
- University of California, Berkeley
- University of California, Merced
- University of Delaware
- University of Illinois at Chicago
- University of Kentucky
- University of Massachusetts
- University of Massachusetts Medical School
- University of Miami
- University of Nevada, Reno
- University of North Carolina at Charlotte
- University of South Carolina
- University of Utah
- University of Virginia
- Washington University in St. Louis
- Zintellect
- 55 more »
- « less
-
Field
-
that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
-
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
-
for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
-
to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems
-
development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 18 hours ago
applicability to the design, development, and science return of space science missions. There is growing interest for the tools and practices of uncertainty quantification to be used to inform the engineering
-
, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
-
the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
-
properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
-
optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise