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about changes in enamels manufacturing methods. A key objective of this project will be to assess to which extend data science numerical tools could help us for processing large datasets of different
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procedures. In a next step of the project, historians will examine to which extent the results obtained by AI challenges existing methods used in historical sciences. Five complementary techniques (µ-Raman, UV
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vibratory extraction and jetting, supported by experiments at multiple scales and advanced numerical modelling. By studying ageing effects on extractability and predicting mechanical responses, the project
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) Willingness to work in a highly interdisciplinary context and develop a set of interdisciplinary methods (i.e., dealing with both qualitative and quantitative data) Interest in engaging with stakeholders active
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the following activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support