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Brazilian or foreign researchers holding a PhD in Statistics, obtained in Brazil or abroad, with proven experience in Survival Analysis and/or Reliability, and the ability to propose and validate new
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(ICP-OES), mass spectrometry or graphite furnace atomic absorption spectrometry (GF-AAS); 3) Experience in data analysis and statistical tools: cluster analysis and principal component analysis; 4
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and electronic states; • Inductively coupled plasma techniques (ICP-OES/MS) for compositional and elemental analysis. - Familiarity with advanced characterization methods at large-scale facilities
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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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knowledge to the redesign and enhancement of public policy instruments in the municipality of Rio Claro (São Paulo state, Brazil). The postdoc project comprises: analysis of the objectives and instruments
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materials with high potential for H2, CO2, and other gas adsorption/storage, based on metal-organic frameworks (MOFs) and covalent organic Frameworks (COFs). These materials act like sponges capable
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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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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
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bioluminescent organisms. Requirements: Proven experience in molecular biology, heterologous expression and purification of proteins, enzymatic assays, proteomic analysis and synthetic biology, PhD obtained within
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, the Brazilian national public health network), with an analysis of cancer care maps in the health regions of São Paulo and related training processes. This project is carried out by the University of São Paulo's