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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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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
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. • Solid knowledge in statistics, data analysis, and empirical legal research. • Have completed a PhD less than 7 (seven) years ago, except under the conditions provided for in PR Ordinance No. 171/2024
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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB) (FAPESP Process 2024/01122-7
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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project “Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB)” (FAPESP Process 2024/01122-7
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staff position within a Research Infrastructure? No Offer Description The Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB) announces a call for one