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, Affective Computing, Machine Learning and Artificial Intelligence, as well as knowledge of programming languages and libraries such as Python, OpenCV, PyTorch, TersorFlow or similar. Work Plan: The work
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Data Science, Artificial Intelligence, Computer Engineering, Computer Science or similar. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses
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for applications for a research grant within the framework of research activities in artificial intelligence for embedded systems, funded by Faculty of Engineering of the University of Porto, under
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an open position to a Research Grant within the framework of research activities in artificial intelligence for unmanned aerial vehicles, funded by Faculty of Engineering of the University of Porto
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Investigate the emergence of collective intelligence in hybrid societies of agents and humans through the presence of attention and awareness mechanisms in agents. The research involves the creation of a model
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aims to harness the power of Data Science, Process Mining, LLMs and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem
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aims to harness the power of Data Science, Process Mining and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem
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expressed in terms of i) work experience in robotics or IoT, ii) experience in the use of machine learning algorithms or artificial intelligence, iii) experience in training and testing deep neural network
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to be achieved: Objective of the work: Support for Research and development of a solution for detecting fraud in automatic gas bottle dispensers, supported by Artificial Intelligence (AI), based
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develop a solution for detecting fraud in automatic gas bottle dispensers, supported by Artificial Intelligence (AI), based on computer vision using deep neural networks. Work plan: 1. Data Collection and