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effectively to human operators, with an emphasis on immersive visualization and AR/VR-supported inspection and training workflows. An important component of the PhD research involves studying how users interact
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resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
of these microstructures, influenced by the nature of the materials and the welding parameters, is a major challenge for the future optimization of NDT methods. In this context, this PhD project aims to develop virtual
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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operational efficiency. Key objectives include the development of a tailored risk-based inspection (RBI) and risk-centered maintenance (RCM) model to address specific vulnerabilities in wind turbine components
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inspection (RBI) and risk-centered maintenance (RCM) model to address specific vulnerabilities in wind turbine components, such as blade erosion, fatigue cracking, and high-cycle fatigue. The model will focus
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framework offering optimal inspection and maintenance decision support. Explore additively manufactured structural concepts, including performance trade-offs for lightweight, fatigue- and corrosion-resistant