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NIST only participates in the February and August reviews. The Materials Reliability Division at NIST houses one of the nation’s leading laboratories for testing the reliability of structural
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data analysis methods Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment of working in an interdisciplinary team Very good command of written and spoken
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, industry codes and standards, power system analysis software, and project management budgeting/scheduling tools. In addition to project work, this position assists in field work to inspect/review large
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activities like design, archive, recovery, load strategies, and access analysis. Work with subject matter experts to validate data structures. Research and share emerging data integration methodologies
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operating model and governance structure that ensures reliable service delivery, strong change control, appropriate separation of duties, and alignment with institutional priorities. In addition, the Director
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
, transfection, mammalian gene and protein expression analysis, and virus production and propagation. Expertise in project relevant areas, such as HIV replication, vector construction and modification, aptamer
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, to create a unified and reliable representation of structural integrity. The work expands on TU/e’s contributions by developing algorithmic components for detection and classification of defects and anomalies
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ensure the reliability of the accelerator design. •Could also contribute to studies of higher-order modes (HOMs) excitation in the RF cavities and to the analysis of their potential impact on beam
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electrodes using various electron microscopy techniques (e.g. FIB-SEM); (ii) Reconstruction of the 3D structure through image analysis; (iii) Analysis of images from new and aged membrane-electrode assemblies