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interfacial reactions within energy storage materials. In addition, the applicant will be expected to help train new scientists (graduate students, post-BS, and post-docs) with suitable laboratory procedures
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research results through timely peer-reviewed publications, technical reports, conference presentations, and collaboration with internal ORNL teams and external partners, including contributions to proposals
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: Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing. I/O and storage performance
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. Major Duties/Responsibilities: Collaborate with internal and external researchers on system software architectures for secure multi-tenancy. Architect secure virtualization-based solutions for sharing a
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and Responsibilities: Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing
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implementation of the LEGEND-1000 experiment, and pursue R&D that extends the physics potential of low-background, rare-event searches. The successful candidate will work closely with a range of students, other
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. Major Duties/Responsibilities: Collaborate with internal and external researchers on system software architectures for secure multi-tenancy. Architect secure virtualization-based solutions for sharing a
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and Responsibilities: Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing
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: Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing. I/O and storage performance