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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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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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preparation of well-characterized target compounds. Apply a range of analytical and characterization techniques to evaluate chelator structure, affinity, selectivity, and metal complexation, including radio-TLC
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candidate will manage several projects concurrently, help shape new research directions within their field, and collaborate closely with ORNL staff, industry professionals, and academic partners. Based within
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on the physical metallurgy of non-ferrous alloys for various applications including aerospace, automotive, and thermal management applications. Projects will include application of physical metallurgy principles
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MSTD on the physical metallurgy of aluminum alloys for various applications including automotive, aerospace, and thermal management. Projects will include application of physical metallurgy principles
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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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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Create and maintain datasets in databases on in-house data storage resources working closely with ORNL’s workflow and data management scientists. Meaningfully collaborate with experimental groups involved