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of the University of São Paulo (USP) in its Butantã campus. Mandatory requirements: Applicants must hold a PhD degree obtained within the past seven years and preferably have a background in architecture and design
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, education, and transportation due to diverse systems, formats, and policies. This 24-month post-doctoral project aims to design and implement innovative solutions, such as lakehouse architectures, to enable
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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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preparation, as well as writing scientific papers and reports. Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence
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the Caatinga, Cerrado, and Atlantic Forest biomes, performing molecular biology protocols, including primer design and testing and gene expression analyses. Additional responsibilities include data organization
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, public land management, or urban and housing regulation. They must hold a PhD awarded within the past seven years, have an outstanding graduate academic record, be available for full-time, on-site research
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the project’s research strands. Mandatory requirements: Academic background in Architecture and Urbanism. PhD in Architecture and Urbanism, Urban Planning, or Urban Management. Excellent academic record and
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feed, in collaboration with the multidisciplinary team of the Thematic Project funded by FAPESP through grant number 2021/08152-0 . Mandatory requirements: PhD obtained within the past 7 years in
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analyses, at bulk and single-cell resolutions. Good understanding of approaches for inferring gene regulatory networks and for predicting cell-cell interactions. Strong interest in adapting machine learning