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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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. Preferred Qualifications: Familiarity with running on scheduled clusters or cloud services. Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data. Experience
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