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(PROINTE-SP), one of the SCDs in São Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. The research aims to develop technologies for data management and analysis capable
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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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and computer programming skills. The objective of this research is failure and damage detection in the petroleum artificial lift process using the operational data signal analysis (time series analysis
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extensive experience in: research with humans/biological samples; exome and variant analysis; Bulk RNAseq data analysis; immunoenzymatic assays (ELISA); structural bioinformatics (docking, modelling
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postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
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which should be spent on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/8874 . Where to apply Website http://www.fapesp.br
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(parallelization, efficient data structures), numerical testing, and results analysis. Familiarity with numerical methods, scientific programming in C++, and an interest in reservoir engineering problems
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can be demonstrated through courses, publications, graduate work, or internships in specialized laboratories; c) Advanced knowledge of multivariate data analysis, preferably using the R environment; d
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qualitative methodological perspective will be adopted, guided by an interpretive approach. Secondary data from official documentary sources will be used, and the analysis will be carried out considering
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with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle