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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery
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, especially structural and fluid mechanics on contemporary high-performance hardware. Primary tasks will include development and performance improvements for hardware-portable scientific software and
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this role, you will study buried interfaces, defects, and charge-transfer processes in vertically integrated semiconductor structures. The research will focus on low-dimensional and emerging materials
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. Knowledge of fiber manufacturing processes and structure-property relationships is a plus. Strong analytical and problem-solving skills. Excellent written and verbal communication abilities. Experience in
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supporting industrial, research, laboratory, or facility electrical systems. Experience supporting electrical design and construction projects. Knowledge of power distribution systems and power electronics
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: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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agendas. Review and recommend improvements to the structure and process of ongoing biweekly technical reviews by MDF research leads to AMMTO. Provide slides and information to AMMTO for major stakeholder
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including fires involving structures, vehicles, and wildland. Perform varying levels of technical search and rescue including vehicle, confined space, and tower/antenna. Implement operations level Hazmat
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Sciences website: https://neutrons.ornl.gov/suites/diffraction As part of our research team, you will emphasize developing software analysis tools for multi-dimensional data analysis, real-time data