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the following terms: . SCIENTIFIC AREA: Artificial Intelligence. . RECIPIENTS: Holders of an undergraduate degree in Computer Engineering or related areas who are enrolled in a master course in Computer
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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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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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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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within the scope of the R&D project AI2PI, Artificial Intelligence to Pedagogical Innovation, reference CIEC-BIL-09-2025-SEP-211051619, financed by European Union, under the Erasmus+ Teachers Academies
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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 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