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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. HIDROSIS is hosted by the University of São Paulo's Engineering School (POLI-USP). The researcher will work on the analysis and
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studies. Preference will be given to candidates with experience in functional and molecular semen analysis, cell culture, and molecular analyses of the microbiome and metabolomics. This opportunity is open
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(IF-USP) n Brazil and to work with Prof. Luiz Machado. The candidate must have experience with data analysis and the instrumentation referred in the project. Training or experience in the fields campaigns
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/axonopathies.” Prerequisites: • PhD degree in Biological Sciences or Health Sciences; • Experience in techniques such as Histology, Molecular and Cell Biology, Immunohistochemistry, miRNA and RNAseq analysis
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symbiotic and asymbiotic germination experiments; - Analysis of the anatomical structure and ultrastructure of protocorms and seedlings; - Management and analysis of data in germination/seed trait databases
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? The selected applicant will be involved in field sampling, in situ and ex situ experiments, laboratory work, data analysis, and writing manuscripts. Applicants should send an e-mail to kitahara@usp.br
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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
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governance strategies. The study will combine document analysis, interviews with public managers and international experts, and the construction of a comparative analytical framework covering health policies
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analysis using germination/seed databases. Activities: - Organize/lead experiments, field sampling, and trait measurements; - Manage/analyze data from germination/seed trait databases; - Elaborate papers