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offers an exciting opportunity for a researcher with expertise in the field of concrete compression structures, SHM and NLFEA and to work in a multidisciplinary team with researchers from industry and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 10 hours ago
-assisted subsurface characterization and monitoring Distributed Acoustic Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion
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physics, astrophysics, hydrodynamics, nuclear physics, high pressure science, warm dense matter and hot dense matter physics, strongly coupled Coulomb systems, lasers, laser-driven dynamic compression
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. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating
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monitoring. Recent advances in cognitive SAR have demonstrated the potential of AI methods operating directly on raw or partially processed data for tasks such as learned focusing, adaptive compression