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Field
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1 Oct 2025 Job Information Organisation/Company University of Minho Department Centro ALGORITMI Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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3 Oct 2025 Job Information Organisation/Company FCiências.ID Department Bolsas Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions Bachelor
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5 Sep 2025 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 20 days ago
knowledge; development of an initial version of a semantic query builder, information retrieval and initial relevance model; extraction, transformation, and consolidation of data obtained in previous steps
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for managing data related to built heritage, with the aim of integrating advanced information modeling and simulation features in the future, such as 3D visualization, Augmented/Virtual Reality (AR/VR), and
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5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The overall vision of the ATE is to deploy and demonstrate a set of business models
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Profile First Stage Researcher (R1) Positions Bachelor Positions Country Portugal Application Deadline 1 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Research
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Information Offer Starting Date 22 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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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