Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Princeton University
- University of Minnesota
- Northeastern University
- Argonne
- Brookhaven National Laboratory
- Brown University
- Nature Careers
- The University of Arizona
- The University of North Carolina at Chapel Hill
- University of California
- University of California Los Angeles
- University of Kansas
- University of Washington
- Brookhaven Lab
- Carnegie Mellon University
- Indiana University
- Lawrence Berkeley National Laboratory
- Marquette University
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- Michigan Technological University
- National Aeronautics and Space Administration (NASA)
- Texas A&M AgriLife
- University of California, Merced
- University of California, Santa Cruz
- University of Oklahoma
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- University of Utah
- Virginia Tech
- Washington University in St. Louis
- 23 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
-
develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
-
. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
-
redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
-
to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
for the heliums (3He and 4He) and their mixtures over a temperature range from 10 mK to 300 K and a pressure range of 0 to 30 bar (where these substances are fluid). The project will also have a parallel effort to
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
-
algorithm development and application. Familiarity with common scientific programming languages such as C++. Experience in parallel programming with one or more common parallel programming models, like MPI
-
massively parallel computing resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence, working with and supervising graduate students. Provide research