Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Oak Ridge National Laboratory
- University of Texas at Tyler
- Brookhaven Lab
- Carnegie Mellon University
- Embry-Riddle Aeronautical University
- Genentech
- Georgia Institute of Technology
- Indiana University
- Johns Hopkins University
- Michigan Technological University
- Nature Careers
- Northeastern University
- Northwestern University
- Purdue University
- The University of Memphis
- University of California Irvine
- University of California, Merced
- University of Minnesota
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Virginia
- Virginia Tech
- 14 more »
- « less
-
Field
-
seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
-
, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
-
distributed computing or HPC environments. Additional Information: Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is
-
exclusive access to two high-performance computer clusters and additional HPC resources, including high-memory nodes, are available through Northwestern’s Quest cluster (see ciera.northwestern.edu/high
-
, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine
-
/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
-
(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
-
environment This position offers access to state-of-the-art computation resources available at St. Jude (HPC environment with 5.3 PFLOPS of power and 150 PB of storage capacity, link 1 below). St. Jude offers
-
computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
-
and risk assessment modeling. • Prior experience with CCUS research projects. • Familiarity with high-performance computing (HPC) and parallel computing techniques. Required Knowledge, Skills, and/or