21 hpc "Computer Vision Center" "Computer Vision Center" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16984 Overview: We are seeking a highly motivated Postdoctoral Research Associate to conduct research at the intersection of quantum computing and high-performance computing (HPC
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Requisition Id 16765 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at scale
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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generation of atomic structures and training of machine learning interatomic potentials (MLIPs) in a way that maximizes the capability of high-performance computing (HPC) platforms available in the Oak Ridge
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-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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-on experience and understanding of developing and applying HPC algorithms to scientific and ML models. Demonstrated research experience with AI and ML techniques. Preferred Qualifications: Experience with
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-state models for kinetics, and (vi) experience in coding and HPC workflows. Knowledge of or experience in Bayesian uncertainty quantification, generative diffusion models with a general familiarity with
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, or comparable research output. Demonstrated hands-on experience developing and applying HPC algorithms to sparse numerical, scientific, and ML models. Preferred Qualification: Strong expertise in two or more of