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, spectral matching against databases (e.g., Metlin, KNAPSAcK), and statistical modeling for biomarker discovery. Integration and Interpretation: Correlate metabolomics data with biological and geographical
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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code (399_CRI_MAI T4 temporary artificial intelligence) in the subject of the message and must consist of: the application form (Annex A), as per the model available on the webpage announcement, which
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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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response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design