Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Northeastern University
- University of Minnesota
- Brookhaven National Laboratory
- The University of North Carolina at Chapel Hill
- University of California Los Angeles
- University of Kansas
- Argonne
- Brookhaven Lab
- Brown University
- Carnegie Mellon University
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- University of California
- University of California, Santa Cruz
- University of North Carolina at Chapel Hill
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- University of Utah
- Virginia Tech
- 12 more »
- « less
-
Field
-
, and measure success. Basic Qualifications: A PhD in Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming
-
dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid dynamics, turbulence
-
computational fluid dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid
-
University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
outputs are biologically and clinically meaningful. Contribute to PI-led grant applications and mentor undergraduate/graduate students. Qualifications: Required: PhD in Computer Science, AI, Data Science
-
multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as
-
teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area
-
-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