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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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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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principles throughout the lifecycle (requirements, architecture, integration, verification & validation, sustainment). This position is in the Support Services & Isolated Environments Group in the Research
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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LabVIEW to EPICS, ensuring robust architectures and sustainable solutions. Provide effective leadership for the team, including performance evaluations, setting annual objectives, supporting staff
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in professional organizations Basic Qualifications: A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications
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systems engineering principles throughout the lifecycle (requirements, architecture, integration, verification & validation, sustainment). This position is in the Support Services & Isolated Environments
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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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intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address
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in accordance with Division Quality Program requirements and best practices. Basic Qualifications: PhD in Mechanical Engineering, Engineering Science and Mechanics, or a closely related engineering or