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, semi- and non-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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, MATLAB, Git, debugging, and modern software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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application development in R and Python Experience with parallel computing Author or co-author of peer-reviewed literature publications Applicants cannot have received their Ph.D. more than five years before
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penetration of distributed energy resources (DERs) and electric vehicles (EVs) presents new challenges for grid resilience, health monitoring, and fault recovery. Advanced utility and third-party sensor
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; establish capabilities that enable the SNS user program to be successful and incorporate distributed control system best practices. Major Duties/Responsibilities: Establish a vision to successfully create and
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, operate and maintain clusters, servers, and workstations supporting services where science happens at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing
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product portfolio management. Primary responsibilities for this position are to provided subject matter expertise to the U.S. Department of Energy Isotope Program (DOE IP) network in the area of