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to this position. You may upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line. Instructions to upload
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labs, and application developers across a variety of venues Additional Responsibilities: Advance the reputation of ORNL through professional society leadership and involvement, as
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approaches with emphasis on electronic properties of a range of quantum materials important to the DOE mission, including the materials classes described below. Research efforts will include application
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deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements
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. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up
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advanced physics-informed AI models for scientific discovery Hands-on expertise developing and applying machine learning for materials and/or process discovery, particularly quantum materials Some form of
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., Python or R; reproducible workflows; version control) Experience or interest in AI/ML application to ecophysiological research Preferred Qualifications: Hands-on experience with lab/growth chamber and/or
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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Requirements: Security, Credentialing, and Eligibility Requirements For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is
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, and Eligibility Requirements For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy