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single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
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research team, you will play an active role in the search for neutrinoless double-beta decay of Ge-76 with the LEGEND-200 experiment, currently operating at LNGS, help lead the R&D, design, and
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system) and disordered materials is also desirable. The project will involve developing autonomous materials discovery workflows on HPC platforms that can learn structure-chemistry-property relationship in
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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of renewable energy and energy efficiency management and projects excellent quantitative and analytical background acquired through research, which can be applied to conduct research analyses on on-site energy
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analytical expertise across projects Support broader research and development activities within the MDF Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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. The position will allow significant interactions with researchers of varying backgrounds and other opportunities for professional development. This position lives in the Alloy Behavior and Design Group in
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. This position resides in the Multiscale Modeling and Materials by Design (M2MD) Group within the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National
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scientific domains. Roles and responsibilities include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end