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: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong academic track record, with
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
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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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: a continental data synthesis and meta-analysis” is available at CCARBON, a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and hosted by the University of São Paulo's Luiz de
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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implementation, surveys, quantitative analysis, qualitative data analysis software, team coordination, and fieldwork; publications in leading journals and experience presenting findings to public officials. How
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high-throughput datasets); • PhD in Bioinformatics, Computational Biology, or a related field; • Strong experience in bioinformatics and analysis of next-generation sequencing data; • Proficiency in