Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- Argonne
- CNRS
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- IMEC
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Kyoto University
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Lawrence Berkeley National Laboratory
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Manchester Metropolitan University
- Monash University
- Nanyang Technological University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Sandia National Laboratories
- Singapore-MIT Alliance for Research and Technology
- Stanford University
- The University of Chicago
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Umeå universitet stipendiemodul
- Universidad Politecnica de Cartagena
- University of Basel
- University of Dayton
- University of Oslo
- University of Washington
- Washington University in St. Louis
- 21 more »
- « less
-
Field
-
/O solutions (e.g., HDF5, ADIOS2), and distributed computing tools relevant to data preparation. Evidence of ability to conduct independent research and publish in peer-reviewed venues. Preferred
-
modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
-
distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development
-
linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
-
. 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
-
computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers