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(current or prospective) Master's students who have achieved excellent results in their Bachelor's studies, and who pursue Master's level studies in Artificial Intelligence, broadly conceived. Academic
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results in their Bachelor's studies, and who pursue Master's level studies in Artificial Intelligence, broadly conceived Academic Requirements Master's students pursuing studies in Artificial Intelligence
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scalable, explainable autism risk assessment. As an applicant, you should have a strong interest in artificial intelligence, and the intersection of healthcare and technology. Your research will address
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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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specialisms such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry
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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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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 2 months 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