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environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with
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) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster
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methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Training
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
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. The deadline for the submission of reference letters is 29 August 2025 at 1400 CET. For more information about our PhD programme, please see here . To view the full call, please see this link .