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well as between metropolitan areas and neighborhoods within the same municipality. Mandatory requirements: - Education and research experience in sociology (especially in the areas of family, associations, work
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years; • Have research experience in relevant areas (e.g., AI, security, public policy, STS, etc.); • Demonstrate a strong academic publication record; • Be fluent in English; • Be available for full-time
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writing, Portuguese proficiency, good English, proactivity, and teamwork. The fellow will contribute through systematic literature review, indicator development and validation, and database organization
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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development of pedagogical, curricular, and institutional models related to adaptive educational games and technologies for inclusive education, with a focus on school curriculum, educational assessment, public
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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Applicants must hold a PhD degree obtained within the last 7 (seven) years prior to the start of the fellowship, from a recognized higher education or research institution in Brazil or abroad, with relevant
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classical plant pathology, at the Engineering Research Center for Sugarcane Phytosanitary Studies (CEPENFITO). The selected candidate will also participate in teaching activities and in the supervision
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Norte state) and Chapecó (Santa Catarina state). Foreign candidates are welcome, but it is important that the candidate has at least a basic command of the Portuguese language, given the predominantly