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, Brazil – to conduct a project qhose objective is to evaluate the carbon stock and silvicultural performance of 25 species of Eucalyptus monitored for over three decades across a broad edaphoclimatic
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innovative approaches to reduce signaling load on networks. Furthermore, the researcher is expected to develop mathematical models and tools to rigorously analyze the performance of such algorithms. Extensive
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for an additional 12 months (totaling 24 months), contingent upon performance and results. Stipend: R$ 12,570.00 per month (tax-free). Location: In-person at LABECMar/Unifesp, Santos, São Paulo state, Brazil. Start
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framework for analyzing and comparing the results of the field experiment with the CAETÊ model outputs; perform a first-order upscaling of the initial results of the AmazonFACE field experiment to the entire
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and Surgery. Additional requirements include international research experience, excellent academic performance, leadership, resilience, strong communication skills, and proficiency in English