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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning
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geology and facilitates the identification of more complex structural features. The fellow will be based at the Federal University of São Paulo's Marine Sciences Institute (IMar-UNIFESP) in Santos, Brazil
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, requiring a complex pathway of biochemical interactions. These structures, although well known in nature, have not been studied in Nucleocitoviricota (Tupanvirus and Niemeyervirus). Various X-ray tomography
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. This approach allows for improved stratigraphic predictions of regional geology and facilitates the identification of more complex structural features. Workplace: Federal University of São Paulo's Marine Sciences