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of Knowledge: Statistics, Data Science, and Law Field of Activity: Econometrics, Data Science, Natural Language Processing, and Empirical Legal Studies Summary Opportunity for a Postdoctoral Fellowship linked to
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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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. Knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to legal texts and empirical legal studies is highly desirable. Candidates must have excellent
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of statistics and database construction; • Intermediate proficiency in Excel; • Experience in project management. Application Period: January 26 to February 15, 2026 Link:https://forms.gle/Ndn6fEyATKHCCi5U7
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; - Supervise students. Requirements: • Fluency in English; • Experience with germination experiments and trait measurements; • Knowledge of statistics and data analysis using R; • Willingness to reside in Rio
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, immunology, molecular biology, data science, statistics, or related fields, with demonstrated experience in single-cell RNA sequencing (scRNA seq) analysis, data and multiomics integration, and cell type
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bioinformatics for genetic association and genotype-phenotype correlation studies; functional variant interpretation; support for complementary analyses (pharmacology, biomarkers); statistical analysis and
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staff position within a Research Infrastructure? No Offer Description Post-doctoral researcher with a background in Engineering, familiar with mechanical equipment, signal processing, statistical analysis
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research design;Proficiency and experience in database management;Proficiency and experience in inferential statistical techniques such as linear regression, Pearson correlation, t-tests, and analysis
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, selected correlation scenarios will be tested experimentally at the bench scale, with synthesis of CDs and physico-chemical characterization, in order to close the loop between text mining, statistical