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the mechanisms that develop in the viral factory of Nucleocitoviricota and characterize the structure of these complexes. The fellow will be based at the University of São Paulo's São Carlos Institute of Physics
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Applicants must hold a PhD degree obtained within the last 7 (seven) years prior to the start of the fellowship, from a recognized higher education or research institution in Brazil or abroad, with relevant
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Brazil is developing a project in quantum optics to develop squeezed light sources and sensors such as atomic magnetometers. The fellowship will be linked to the Young Researcher project as part of
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the calibration of the CAETÊ (Carbon & Ecosystem Trait Evaluation) model developed at the State University of Campinas (UNICAMP, São Paulo state, Brazil) for the AmazonFACE experimental site; develop a
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Cerrado species and the measurement of germination/seed traits. The position is ideal for researchers who wish to develop projects involving laboratory and field experiments, trait measurements, and data
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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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(PROINTE-SP), one of the SCDs in São Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. The research aims to develop technologies for data management and analysis capable
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of this research is to develop improved methods for updating simulation models for decision-making, through integrated knowledge of reservoir engineering and geology. The fellow will work within the scope
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of the regional datasets for the project data and knowledge base; • Create analytical workflows; • Lead scientific publications; • Contribute to developing / teaching relevant course material. For a full
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of interest; - Abstract and publications resulting from the thesis. The fellow will be based at the State University of Campinas's Faculty of Physical Education (FEF-UNICAMP) in São Paulo state, Brazil