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/ coarse- grained approaches) Experience with enhanced sampling techniques; computational biophysics/chemistry Usage of high-performance computing clusters, preferably GPU-based computing Proficiency in
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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
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Position Description We are scouting strongly motivated scholars to join the NEUQUAM team led by Dr. J. Marino at SUNY Buffalo in the USA. Our research team investigates quantum phenomena that can
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, 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
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, 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
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, you will have early access to the Empire AI clusters, utilizing state-of-the-art GPU architectures to push the boundaries of structural biology. This position is a prestigious Empire AI Fellowship
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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
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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