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the contract. Activity Outline: Development of urban mobility studies, namely through literature review and data analysis with a view to scientific publication. The use of statistical software (R or similar) is
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of construction elements – 5 points; Previous experience in Life Cycle Assessment – 3 points. The curriculum of each candidate will be evaluated in a 1-20 points scale. Candidates with less than 12 points in
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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) processing, analysis and interpretation of the structural monitoring results of historical built assets using artificial intelligence techniques; ii) development of structural digital twins of historical built
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corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence
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with E5 gasoline blended with different percentages of methanol. Analysis and representation of the data obtained from the simulations: power, torque, combustion and thermal efficiency, as
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intelligence techniques, LCC and RAMS analysis. The student will also contribute to the digital integration of the different tools developed in the project, ensuring their validation, testing and demonstration