22 structural-health-monitoring positions at Delft University of Technology in Netherlands
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modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and
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into sensing solutions for track infrastructure monitoring. Railway is the backbone of sustainable mobility. The section of Railway Engineering at the department of Engineering Structures within TU Delft's
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Laboratory facilities support large-scale tests, monitoring, and modeling of structures to facilitate the implementation of innovations. The department delivers both groundbreaking research and high-quality
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This PhD position deals with development of innovative modeling and monitoring methods for ship structures made of fiber-reinforced composites under extreme loads. Fiber-reinforced composite (FRC
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- Enabling Integrated Lightweight Structures In High Volumes and will contribute to the project through enabling advanced monitoring and control of fusion bonding processes. You must have the following
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materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil
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materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil
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of 3D Computer Vision, Composite Fabrication and Aerospace Structures. Project Overview: The project is dedicated to the monitoring and management of composite fabrication process, ensuring the production
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of 3D Computer Vision, Composite Fabrication and Aerospace Structures. Project Overview: The project is dedicated to the monitoring and management of composite fabrication process, ensuring the production
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cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive