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Intelligence Admission requirements: Hold a Master's degree in Artificial Intelligence and Data Science, Computer Engineering, or related fields. Previous participation in research projects in the field
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, according to the following conditions: master´s students who performed research in Explainable Artificial Intelligence are invited to apply. Work plan: Investigate the use of filter, embedded, and wrapper
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, interoperability, and scalability; 2) Integrate connected vehicles and urban sensors, with support for V2X communication, IoT, and location services; 3) Develop artificial intelligence mechanisms (e.g
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and
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, namely: Exploration of libraries and models for Artificial Intelligence (AI); Create HPC computing environments; Test the application of HPC to different types of problems in the area of AI; Construction
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, namely: Exploration of quantum computing approaches to solving large problems; Exploration of libraries and models for Artificial Intelligence (AI) and quantum computing; Exploration of approaches
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: This scholarship is part of the PULSE project. This project aims to develop artificial intelligence-based solutions for non-invasive assessment of the heart's electromechanical activity using heart sounds
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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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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 30 days ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
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the framework of “Assessment and observation of the structural behaviour of historical built assets resorting to artificial intelligence techniques”, financed by the Faculty of Engineering of University