164 structures "https:" "https:" "https:" "https:" "https:" "https:" "University of Southampton" positions at NEW YORK UNIVERSITY ABU DHABI
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, development, and characterization of innovative and multifunctional construction materials, including self-sensing and self-healing systems, with applications in infrastructure, oil and gas, and energy
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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models. Knowledge of 3D reconstruction pipelines such as photogrammetry, structure-from-motion (SfM), or multi-view stereo (MVS). Interest in interdisciplinary applications of AI, especially in cultural