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- 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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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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), 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
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the scope of the Project AILA – Artificial Intelligence Legal Assistant - Refª 2024.07657.IACDC, supported by the measure “RE-C05-i08.M04” – “Support for the launch of a programme of R&D projects focused
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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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intelligence and data science in public administration, as well as a scientific training program", of the Recovery and Resilience Plan – PRR, framed in the financing contract signed between the Mission Structure
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Bachelor Positions Country Portugal Application Deadline 23 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Master Positions Country Portugal Application Deadline 8 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme