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Requirements Academic qualifications: Degree in Computer Science, Informatics of similar area. Minimum profile: Past experience (or academic training) in Artificial Intelligence, algorithms with a focus on
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
Not Applicable Offer Starting Date 28 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 17115-LISBOA2030-FEDER-00850400 Is the Job
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 2 months ago
29 Sep 2025 Job Information Organisation/Company Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra Department Department of Electrical and Computer
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Research Framework Programme? Not funded by a EU programme Reference Number BI/ Nº2025/00099 - ESA-POGS - FSO (AV) Is the Job related to staff position within a Research Infrastructure? No Offer Description
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the job funded through the EU Research Framework Programme? NextGenerationEU Reference Number 2022.05284.PTDC Is the Job related to staff position within a Research Infrastructure? No Offer Description
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2 Oct 2025 Job Information Organisation/Company Politécnico de Leiria Department CIIC - Computer Science and Communication Research Centre, at the School of Technology and Management (ESTG
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Starting Date 28 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2023.13876.PEX_BI_01/2025-CMEMS Is the Job related to staff position
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11 Sep 2025 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Mechanical engineering
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Country Portugal Application Deadline 12 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Not
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve