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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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twins are leveraged to develop paradigm shifts in quality assurance, quality control, real-time process control, and design optimization for the United States. In this digital environment, you will use
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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their appointment. Preferred Qualifications: Experience with pan-genome datasets. Experience in plant stress/growth physiology and phenotyping, including extraction of relevant traits from image-based platforms
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional