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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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Services during Extreme Climate Events. Objective: To develop and validate a Digital Twin model to support real-time decision-making during extreme climate events. Requirements: Experience in research
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of this research is to develop improved methods for updating simulation models for decision-making, through integrated knowledge of reservoir engineering and geology. The fellow will work within the scope
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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