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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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. Procedure Reference: IT137-25 -388 I - Legal admission requirements I.I - Grant Recipients: Bachelor’s degree in Informatics Engineering, enrolled in a Master’s program in Artificial Intelligence, Data
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of wireless networks; - knowledge of Artificial Intelligence models.; Minimum
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on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding
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on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding
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on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding
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of LIS ́s researchers, in the framework of Project Ethiack Portal – Platform for Ethical Hacking Automation supported by Artificial Intelligence (CENTRO2030-FEDER-00565200), co-financed by Portugal 2030
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of annotated video expected. This dataset will form a significant basis for the development of artificial intelligence techniques for identifying eight clinical activities based on the recognition of objects
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of Tuition fees to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Artificial intelligence
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 23 days ago
for dynamic updates of the Digital Twin. Using Artificial Intelligence for predictive analysis of wildfires. Designing user-centred decision-support tools to assist firefighting teams and policymakers