Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- New York University
- Oak Ridge National Laboratory
- Brookhaven Lab
- Harvard University
- Stony Brook University
- University of North Carolina at Chapel Hill
- University of South Carolina
- Yale University
- Embry-Riddle Aeronautical University
- Emory University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Princeton University
- University of Colorado
- University of Massachusetts Medical School
- University of North Texas at Dallas
- 7 more »
- « less
-
Field
-
. Experience in parallel programming (MPI, GPU, etc.). Proficiency in biostatistical methods. Ability to work independently and in group settings. Ability to learn quickly and apply new analytic techniques. Job
-
technologies. Proficiency in scientific programming (Python, C++, or MATLAB) for detector control, data acquisition, and real-time processing. Familiarity with electron microscopy techniques (STEM, EELS
-
insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time
-
-quality publications in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g
-
conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud
-
completed within the last 5 years. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred
-
package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https
-
to NYUAD researchers, including an HPC cluster with ~30,000 computing cores and 34 GPU nodes. The position may start as early as September 2025. Applications will be accepted until the position is filled
-
programming and GPU-based computing. You have experience with machine learning frameworks such as Pytorch or TensorFlow. You communicate effectively, both verbally and through technical writing. Other
-
, Integrity, and Teamwork Desired skills and experience: Experience in GPU programming with one or more parallel computing models An understanding of computer architecture and experience in the analysis and