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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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Requisition Id 15816 Overview: The Oak Ridge National Laboratory (ORNL) is seeking a dynamic Research Associate to focus on innovations in AI-integrated workflow architectures that span the Edge
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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secure enclave architectures and federated learning approaches. Background in developing reproducible pipelines with validation, provenance tracking, and schema consistency checks. Publications in relevant
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are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class
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machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain
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Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain and maintain a DOE Security Clearance Special
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications
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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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applications, (2) design and architecture of integrated, hybrid, atomistic simulation software packages (e.g., LAMMPS) and DL models, and (3) documentation, verification and validation, and software quality