Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Argonne
- Nature Careers
- University of North Carolina at Chapel Hill
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- European Space Agency
- Stony Brook University
- Technical University of Denmark
- University of South Carolina
- Yale University
- ; University of Oxford
- Brookhaven Lab
- Duke University
- Durham University
- Embry-Riddle Aeronautical University
- Emory University
- European Magnetism Association EMA
- Harvard University
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Technical University of Munich
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Antwerp
- University of Colorado
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of Texas at Arlington
- VIB
- 22 more »
- « less
-
Field
-
electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) Aid the implementation of IEA
-
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
-
be direct access to advanced biophysical infrastructure in the biophysics core facility headed by the PI, a GPU cluster with working pipelines for computational design and the department’s bioimaging
-
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
-
. 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
-
in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
-
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
-
allowance. Generous travel, equipment, and publication funds. Access to NYUAD’s world-class research facilities, including a high-performance computing (HPC) cluster with ~30,000 cores and 34 GPU nodes. Start
-
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
-
~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. To be considered, all applicants must submit via