Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
-
zero trust principles in HPC and research environments. ● Align HPC security strategy with institutional and SUNY-wide initiatives (e.g., Empire AI). Compliance & Regulatory Alignment ● Lead
-
zero trust principles in HPC and research environments. ● Align HPC security strategy with institutional and SUNY-wide initiatives (e.g., Empire AI). Compliance & Regulatory Alignment ● Lead
-
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
-
, 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
-
, 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
-
for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Our University