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                Employer- FAPESP - São Paulo Research Foundation
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                Field
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                ecology, obtained in the last 3 years. Job requirements include i) ability to set up field experiments; ii) ability to identify woody and herbaceous species in the field; iii) ability to analyse data (in R 
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                graduate transcripts.The position is open to both Brazilian and foreign candidates. The fellowship provides a monthly stipend of R$ 12,570.00, plus a Technical Reserve equivalent to 10% of the annual 
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                ."The fellowship offers a monthly stipend of R$ 12,000.00 for an initial period of 12 months, with the possibility of renewal for an additional 4 months. A 10% technical reserve is also provided. The position 
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                degree certificate and 4) two recommendation letters, until 09/15/2025. The opportunity is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Postdoctoral Scholarship of R 
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                Postdoctoral Scholarship of R$ 12,000.00 per month, alongwith a Technical Reserve equivalent to 10% of the annual scholarship value to coverunforeseen research-related expenses. If the scholarship holder needs 
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                English, econometric studies, programming in R or Python, writing in LaTeX, and 2 at least of: mastering difference-in-differences and regression discontinuity design methods and their application, topic 
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                degree certificate and 4) two recommendation letters, until 09/08/2025. The opportunity is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Postdoctoral Scholarship of R 
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                international candidates. The selected fellow will receive a FAPESP Postdoctoral Fellowship in the amount of R$ 12,570.00 per month, plus a Technical Reserve corresponding to 10% of the annual fellowship value 
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                when this has already been concluded 5. SCHOLARSHIP RECIPIENTS The scholarship is aimed at carrying out R&D activities by holders of a PhD degree in Food Engineering and/or related areas. - Scientific 
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                for rapid and accurate analysis of meat product quality parameters; 10) To support data analysis using R software; 11) To support the dissemination and exploitation of the results obtained in the project. 4