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on artificial intelligence techniques, namely machine learning and deep learning; (3) analysing mathematical models applicable to renewable energy generation technologies and electrical energy storage systems; (4
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community legislation. Procedure Reference: IT137-26-148 I - Legal admission requirements I.I - Grant Recipients: Graduates, in Informatics Engineering or in the scientific area of Artificial Intelligence and
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Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/XXXX E-mail submissions will not be considered. (The cover letter and the CV are mandatory documents in the online application
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas
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artistic research. The position will be affiliated with MishMash , a national centre for artificial intelligence funded by the Research Council of Norway, in which the Conservatory of Music is a partner. The
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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and Engineering Information Technology in Artificial Intelligence Sustainability Science and Technology Mathematics Program Highlights: Recipients will be awarded the Westlake Fellowship that includes a
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for students with MSc degree with reference number BI|2026/879 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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for students with BSc degree with reference number BI|2026/880 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a