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for a research grant within the framework of project 2023.11234.PEX – GAI4FD - Evaluation methodology for Generative Artificial Intelligence Super-Resolution models for Fluid Dynamics, with DOI https
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until the time of signing the contract. Research Activity: The scholarship holder will provide support and collaboration in WP4 - Decarbonization of mobility, namely: Adaptation of travel behavior models
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within the framework of project 2023.14874.PEX - anomaly - Machine Learning-based Models for Advanced Anomaly Detection in Dam Structural Health Monitoring, with DOI https://doi.org/10.54499/2023.14874.PEX
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: Development and validation of a CFD-based model to evaluate and optimize the operation of a biomass boiler fed with an oxygen-enriched air stream; Promotion and dissemination of the results. Legislation and
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₂, and excess heat from electrolyzers, renewable energy sources (photovoltaic), and endogenous wastewater resources (water and sludge), paving the way toward energy neutrality. Modeling tools such as
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(PCMs) for enhanced thermal performance (Activity 2 - Energia inteligente e gestão térmica para a eficiência dos recursos). The predictive models will be developed using the numerical simulation software
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three-dimensional modelling and numerical simulation: up to 5 points; attendance and approval of some course units partially covering the subject areas – 3 points; no experience – 0 points. 3. Experience
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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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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part
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within the framework of project 2023.14874.PEX - “anomaly - Machine Learning-based Models for Advanced Anomaly Detection in Dam Structural Health Monitoring”, with DOI https://doi.org/10.54499/2023.14874