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datasets, analyses, and visualizations. Communicate research results through peer-reviewed publications, technical reports, conference presentations, and collaboration with internal ORNL teams and external
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matter physicsis to link models and algorithms with innovative materials simulations. • Author peer reviewed papers for internal and external release as well as represent the organization via technical
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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
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journal papers. Excellent written and oral communication skills and the ability to communicate in English to an international, scientific audience. Motivated and safety conscious. Ability to set priorities
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experimental / synthetic data to underlying Hamiltonians. Publish scientific papers resulting from this research and present results at appropriate national and international meetings. Deliver ORNL’s mission by
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
in the project. Report and publish scientific results in peer-reviewed journals in a timely manner. Present results at international scientific conferences and meetings. Deliver ORNL’s mission by
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). Collaborate with experimentalists to validate methods on real-world systems. Publish in high-impact journals and present at leading national and international conferences. Ensure compliance with environment
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, heterogeneity-aware scheduling, robust and efficient training and fine tuning. Contribute to open-source software, datasets, and standardized evaluation suites; mentor interns and students. Communicate results