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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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in Computer Engineering with research experience in Explainable Artificial Intelligence (XAI). LanguagesENGLISHLevelExcellent Additional Information Benefits The scholarship provides €1,040.98 per
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 18 days ago
engineering Information science » Other Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 19 Nov 2025 - 23:59
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11 Nov 2025 Job Information Organisation/Company University of Trás-os-Montes and Alto Douro Department Research Support Office Research Field Information science » Other Researcher Profile First
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Offer description: The University of Trás-os-Montes and Alto Douro
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that typology of the scholarship, followed or interpolated. and Requirement 2: Hold a master’s degree in Computer Engineering, Artificial Intelligence and/or Data Science, Computer Science or related field
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), which is supported under the measure "RE C05-i08.m04 - Support the launch of a programme of R&D projects focused on the development and implementation of advanced cybersecurity, artificial intelligence
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), Northern Regional Program (Norte 2030) of Portugal 2030.", under the following conditions: 1. Scientific Area: Engineering 2. Admission requirements: i) Student enrolled in a PhD in Intelligent Systems
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and Management, Production Engineering, Logistics Engineering, Computer Engineering, Systems Engineering or Artificial Intelligence, Data Science or related scientific areas. 2.3 – Preferential factors