Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Technology (MHIT), and a PhD in Informatics. IIT faculty at the Cyberinfrastructure Lab (https://research.cec.sc.edu/cyberinfra/ ) are actively involved in applied research, and collaborate extensively with
-
-access AI resources. Experience in GPU-accelerated computing and reproducible software development, including the use of containerization frameworks (e.g., Docker, Singularity) and collaborative code
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
GPU accelerated pipelines. In collaboration with a worldwide network of real-time data release and processing centers, the Data Access Engineer will take the alert distribution system to production
-
The Computer Science program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology (KAUST
-
, immersive, and interactive technologies. Highly proficient in real-time engines, AI-assisted tools, GPU-accelerated platforms, and emerging computational design workflows, you combine creativity with
-
of computing systems—driven by edge devices, AI accelerators, and domain-specific architectures—has created unprecedented hardware heterogeneity. Modern platforms combine CPUs, GPUs, FPGAs, ASICs, and emerging
-
research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
-
Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday, 8am-5pm VP Area Academic Affairs Department
-
Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday, 8am-5pm VP Area Academic Affairs Department
-
scenarios Convolutional neural networks for computer vision require substantial computing resources and introduce significant latencies even in modern GPU systems. This project investigates neuromorphic