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implementing data services; developing intuitive and interactive graphical interfaces; integrating 3D visualization tools with a focus on emerging technologies such as AR and VR; applying machine learning-based
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of AI machine/deep learning imagery analysis methodologies and Digital twins applied to cultural heritage assets. 8 - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do
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interaction with the road infrastructure. • Experience in big data analysis and handling of large data sets, with skills in applying AI and machine learning techniques to traffic pattern analysis and road
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should possess a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling
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Predictive Maintenance: employing big data analytics to assess ballast degradation and particle morphology, supported by machine learning algorithms. Data-Driven Numerical modelling Simulations: leveraging
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concrete affected by internal expansion reactions. The main tasks to be accomplished are: • Acquire knowledge about the expansive phenomena and their modelling, considering the thermo-hygrometric