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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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(IC) design. The PhD scholar position is affiliated with the PhD program in Engineering Science (PENG) under Faculty of Technology, Art and Desgin (TKD). The research project is affiliated with
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