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, probability theory, privacy definitions, and apply it to develop efficient privacy preserved federated learning model. Communicate and coordinate experimental results with other domain experts to facilitate
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life cycle energy and cost assessments for conducting manufacturing technology assessments. Excellent oral and written communication skills, including the ability to make technical presentations
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fabrication efforts that advance HFIR isotope production targets. We are seeking a person who can be a team player with excellent attention to detail, critical thinking ability, and strong communication skills
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aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. As a member of the ORNL scientific community, you will be expected to commit
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. Knowledge of Python programming language. Preferred Qualifications: Experience with object-oriented programming languages (especially C++), version control system (Git) and software development practices
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software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain and maintain a
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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
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systems. Prepare schedules, cost estimates, status updates, and performance reports for responsible projects. Effectively communicate project outcomes to ORNL management and project sponsors, both internal
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elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills
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infrastructure resilience and equity, analyzing the differential impacts of infrastructure disruptions on vulnerable communities. Develop frameworks for assessing energy affordability considerations in resilience