8 gpu positions at Stony Brook University

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  • Stony Brook University | Stony Brook, New York | United States | about 5 hours ago

    extracting transport properties from molecular dynamics trajectories. ●      Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ●     Experience

  • Stony Brook University | Stony Brook, New York | United States | 3 months ago

    automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated processing. Experience with

  • Stony Brook University | Stony Brook, New York | United States | 3 months ago

    , and maintaining automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated

  • Stony Brook University | Stony Brook, New York | United States | 2 months ago

    , and maintaining automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated

  • Stony Brook University | Stony Brook, New York | United States | 3 months ago

    : Linux system administration, scripting and/or application development, OpenStack, Ansible, Terraform, container technologies, GPU/AI software stacks, research-computing workflows. Brief Description

  • Stony Brook University | Stony Brook, New York | United States | 2 months ago

    : Linux system administration, scripting and/or application development, OpenStack, Ansible, Terraform, container technologies, GPU/AI software stacks, research-computing workflows. Brief Description

  • Stony Brook University | Stony Brook, New York | United States | about 2 months ago

    scheduler systems (SLURM). ●      Define secure configurations for GPU systems, AI pipelines, high-performance storage systems (GPFS), and research cloud integrations (Azure HIPAA environments

  • Stony Brook University | Stony Brook, New York | United States | 5 days ago

    scheduler systems (SLURM). ●      Define secure configurations for GPU systems, AI pipelines, high-performance storage systems (GPFS), and research cloud integrations (Azure HIPAA environments

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