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risk factors associated to chronic diseases. Recently, the literature about metal/metalloids studied them as risk factors for chronic diseases in studies in urban areas. Objective: The objective
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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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based on document analysis and interviews with pre-selected candidates. This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in
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, and citizenship); - Experience in building and organizing databases using international, national, and local data sources; - Experience in quantitative data analysis; - Work schedule and location: a
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position within a Research Infrastructure? No Offer Description The project involves the use of models for the hydrological and environmental analysis of watersheds, as well as for assessing the impacts
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database modeling, creation and implementation of functionalities and interactive interfaces, case study development and analysis, and repository management and documentation of technological processes
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plasma; on the production and evaluation of materials and coatings; on the characterization of the materials produced; on data analysis; on the writing of scientific papers and technical reports; and on
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rats; 3) Molecular techniques: ELISA, Western blot, immunofluorescence and fluorescence/confocal microscopy; 4) Brain dissection of young and adult rats; 5) Statistical analysis. Desirable requirements
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, using Schottky diodes and metal–oxide–semiconductor (MOS) capacitors. The project focuses on the fabrication, electrical, and optical characterization of SiC-based devices, with emphasis on: • Fabrication
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS