Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Northeastern University
- Medical College of Wisconsin
- University of Kansas
- Argonne
- Brookhaven Lab
- Brookhaven National Laboratory
- Brown University
- Lawrence Berkeley National Laboratory
- Nature Careers
- The University of North Carolina at Chapel Hill
- University of California
- University of California Los Angeles
- University of California, Los Angeles
- University of California, Santa Cruz
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- Virginia Tech
- Washington State University
- 12 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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
-
, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
-
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
-
diseases with an emphasis on translational application and therapeutic development. The Cornea Biology Laboratory, under the direction of Sophie Deng, MD, PhD, studies corneal stem cells aiming to develop
-
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
-
, 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
-
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
-
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
-
leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration