9 health-informatics positions at FEUP

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  • FEUP | Portugal | about 19 hours ago

    : Scientific Area: Informatics Engineering Admission requirements: Be a student enrolled in a higher technical professional course, a bachelor's degree, in an integrated master's degree or in a master, in the

  • FEUP | Portugal | 19 days ago

    1 Oct 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Computer science » Other Researcher Profile First Stage

  • FEUP | Portugal | 28 days ago

    Computer Engineering, Informatics and Computing Engineering Admission requirements: Candidates who cumulatively meet the following two requirements may apply for this grant: - To be a student enrolled in a

  • FEUP | Portugal | 28 days ago

    Computer Engineering, Informatics and Computing Engineering Admission requirements: Candidates who cumulatively meet the following two requirements may apply for this grant: - To be a student enrolled in a

  • FEUP | Portugal | about 2 months ago

    ), under the following conditions: Scientific Area: Computer Science and Engineering Admission requirements: Candidates must cumulatively meet the following requirements: Requirement 1: Be enrolled in a

  • FEUP | Portugal | about 1 month ago

    5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 19 Sep...

  • FEUP | Portugal | about 1 month ago

    5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 19 Sep...

  • FEUP | Portugal | 20 days ago

    within the framework of project 2023.14874.PEX - anomaly - Machine Learning-based Models for Advanced Anomaly Detection in Dam Structural Health Monitoring, with DOI https://doi.org/10.54499/2023.14874.PEX

  • FEUP | Portugal | about 2 months ago

    within the framework of project 2023.14874.PEX - “anomaly - Machine Learning-based Models for Advanced Anomaly Detection in Dam Structural Health Monitoring”, with DOI https://doi.org/10.54499/2023.14874

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