Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- University of Pittsburgh
- King Abdullah University of Science and Technology
- Max Planck Institute for Marine Microbiology
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Blekinge Institute of Technology
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Eindhoven University of Technology (TU/e)
- Great Bay University
- Harvard University
- KTH Royal Institute of Technology
- Koç University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- North Carolina State University
- Oden Institute for Computational Engineering and Sciences
- Pennsylvania State University
- Purdue University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Chicago
- University of California
- University of Miami
- University of Oklahoma
- University of South Carolina
- West Pomeranian University of Technology, Szczecin
- Yale University
- 19 more »
- « less
-
Field
-
, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
-
the next generation of AI leaders, mentor students on groundbreaking research projects with access to state-of-the-art GPU hardware, forge partnerships with industry and academia, and contribute to AI
-
of Medicine, Hospital, Translational Medicine Research Center (KUTTAM), and Koç University Is Bank Artificial Intelligence Research Center (KUIS AI). Koç University is home to Türkiye’s largest GPU cluster
-
-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software
-
on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
-
hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
-
cluster consisting of 16,616 CPU cores and approximately 100 GPUs, as well as a dedicated AI cluster with 40 A100/H100 GPUs. Position Overview The Department Chair will serve as the academic and
-
tumorboard workflows Access to unique longitudinal clinical datasets, established molecular tumorboards and high-performance computing infrastructure (including NVIDIA B300 GPUs) Funding for open-access