23 component-labeling-cuda Postdoctoral positions at Oak Ridge National Laboratory in United States
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. Extensive experience in the development and application of finite element method (FEM) or comparable methods for AM applications. Preferred Qualifications: Demonstrated expertise in multi-physics simulations
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
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Associate positions. The selected candidates will conduct their research in the broad field of data science to develop new data driven methodologies to assess and to improve the quality of components
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Requisition Id 15281 Overview: We are seeking a Postdoctoral Research Associate who will focus on distributed sensing using optical fibers for maintenance and component health applications
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and modify open-source codes to develop technical solutions and explore integrated design and optimization of tritium breeding blanket systems and related component designs. The successful candidate
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National Laboratory (ORNL). You will join our team as part of the Department of Energy’s Nanoscale Science Research Center (NSRC)-CHIP project. As part of our research team, the successful candidate will
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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, transportation, and computing. The CIR Group is a part of the Geospatial Science and Human Security Division at ORNL. The CIR group is heavily engaged in modeling risk and resilience of critical infrastructures
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Group in the Manufacturing Sciences Division of the Energy Science and Technology Directorate at ORNL. In this position, you will be a part of teams working toward achieving both the overall mission
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woody perennial plant systems. Effective writing and communication skills with a strong publication record. Demonstrated ability to work both independently and collaboratively as part of a