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models using experimental data from drivetrain test benches equipped with load, temperature, vibration, and acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework to ensure reusability and scalability. To achieve this, you will work with high-fidelity simulation tools
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, digital twins AI applications, GIS integration, sensor networks, OpenBIM, Linked Data (ii) Contribute teaching to the bachelor and master programmes of the department, e.g., in: Construction and Project
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ABOUT GHENT UNIVERSITY Phd position Markerless Motion Capture using Wearable Sensors Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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and united, it participates in the European University of Post-Industrial Cities, UNIC initiative and has one of the most extensive collaborative networks in the world. ULiège offers attractive career
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision