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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
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-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
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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
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using clusters like UPPMAX and GPUs for high-performance computing and parallel computing using clusters like UPPMAX and GPUs for high-performance computing are essential. While not required, experience
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27 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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, 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
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27 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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dynamics simulations using parallel computers or GPU computers. We correlate the obtained results with experimental data on polymeric functional materials to elucidate their dynamic behavior and clarify
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Arab Emirates Application Deadline 25 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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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