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Documentation: 1. Cover Letter (Letter of motivation); 2. Copy of PhD Thesis; 3. Updated Curriculum Lattes (or CV for international candidates); 4. Contact information for up to three references
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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
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. Duration The fellowship is granted for 36 months. 4. Eligibility and Requirements • PhD obtained within the last 4 years or by May 31st; • Background in IR image analysis and experimental phase change
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an ethnographic approach and actively collaborate with social movements and IEE-USP, strengthening existing connections. Requirements: PhD completed; fluency in English; experience with qualitative methods
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Claro and travel to Cavalcante (fieldwork); • Consistent scientific output; • PhD completed within the last 7 years. Interested candidates should complete the Google form (https://forms.gle
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learning and community engagement in conservation. Requirements: PhD completed; fluency in English; experience with qualitative methods; experience with and availability for fieldwork, in accordance with
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of computational tools to understand the immunological mechanisms that drive inflammation. We are looking for candidates who obtained their PhD within the last 7 years in bioinformatics, computational biology