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using machine learning; Interpretation of soil profiles and moisture maps. Development and validation of digital tools: Support in building georeferenced web interfaces for data visualization
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
skills. Have very good knowledge of machine-learning and data science methods, especially for timeseries data Have very good programming skills in programming languages such as Python. Have previous
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital
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: Electrical and Computer Engineering 2. Admission Requirements: - The candidate must hold a Master's degree in Electrical and Computer Engineering or related fields. - The candidate must be enrolled in a PhD
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degree course in Electrical and Computer Engineering or Computer Engineering, or related fields; - Hold a degree in Electrical and Computer Engineering or Computer Engineering; - Suitability
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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied
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: Research experience, with an emphasis on socio-territorial studies and the use of quantitative and qualitative methods, as well as the use of computer applications for qualitative processing and analysis
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to monitoring cracking in concrete bridges and viaducts through computer vision The work is supported by BRISA and will use as case study the viaduct over the Rio de Anços on the A1. Duration: 6 months Maximum
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5 Jan 2026 Job Information Organisation/Company Instituto Politécnico de Bragança Department Gabinete de Apoio a Projetos Research Field Engineering » Computer engineering Researcher Profile First
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; Verbal communication skills and fluency in Portuguese and English. Basic computer skills from a user perspective. Work plan: Participation in the ApTAsense project, including: Selection of DNA aptamers