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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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on the characterization and modeling of soft magnetic materials for high frequencies applications.
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-parametric methods for modeling, forecasting, classification, and uncertainty quantification in the presence of complex data. These methods will be developed in the context of modeling and monitoring natural
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advanced numerical framework for the simulation ofFSI problems,basedon the use ofthe Discontinuous Galerkin(DG)method for the discretization ofthe fluid domain.The structural domainwill be modeled using
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of mathematical models of biological processes or phenomena, in the presence and absence of pathologies. - - Development and validation of algorithms for the processing of diagnostic biosignals, also using
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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
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well as in the system integration. The strategic mission of the FBK-SD is scientific excellence combined with the ability to exploit research results. The innovation model is open to collaboration in national
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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for disease modeling (organ on chip, tumor on chip). Humanitas Research center is equipped with newly developed laboratories and a wide range of state-of-the-art core facilities, including imaging, flow