Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
-
conduct world-class applied research. We change and make a difference. Do you want to become one of us? TheDepartment of Computer Science (DIDA) is one of two departments in the Faculty of Computing. It is
-
process to be portable across different computing architectures Integrate a software license and manager license server Interface with users and assist with questions and debugging efforts related
-
that accelerate scientific discovery and societal impact. Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data
-
. Experience designing or adapting architectures rather than only applying existing ones. Real-time and resource-constrained inference: quantisation, pruning, distillation, CUDA, embedded accelerators. C
-
• Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. • Demonstrated ability to support
-
& Training, Network Programming (UDP/TCP/ZeroMQ), API Development, CUDA programming, python programming, Hardware Acceleration, strong verbal and written communication skills necessary for writing research
-
PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
work. Some experience in modelling of composite materials. Some experience in programming (Python, Fortran, CUDA or similar). Some experience in fluid mechanics and biomechanics. Personal characteristics
-
selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
-
written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with