Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- SUNY University at Buffalo
- Brookhaven National Laboratory
- Monash University
- NIST
- National Renewable Energy Laboratory NREL
- University of California, Merced
- University of California, San Diego
- University of Cincinnati
- University of Dayton
- University of Maine
- University of Pennsylvania
- 1 more »
- « less
-
Field
-
to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with distributed computing or HPC
-
computer engineering, such as, but not limited to: Computer architecture: domain specific architecture, architectures for next generation computing; Operating Systems and computer networks; parallel and
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
-
. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL 4. Research involving parallel distributed autonomy applications 5. Experience with
-
reports to the Director of Advanced Research Computing, Security, and Information Management (ARCSIM) and will help support the needs of the UMaine research community and its collaborators by enabling and
-
consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education
-
subject matter expert at this level. Using deep expertise in high-performance computing (HPC) systems, including resource managers, schedulers, and parallel file systems (e.g., Lustre), the IT Security
-
Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions
-
learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research
-
, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment