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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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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix
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to microelectronic devices and low-power, three-dimensional, non-von Neumann computing architectures. You will utilize ORNL’s unique ultra-high-vacuum, glovebox, and ambient atomic force microscopy capabilities
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Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. Special Requirements: Applicants cannot have received their Ph.D. more than
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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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systems, incorporating coupled structural, fluid, thermal, and nonlinear dynamic effects. Experience developing and deploying digital twin architectures for rotating equipment, including model calibration
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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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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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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