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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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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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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
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languages and modeling, proficiency in the analysis of climatological data series, and familiarity with image processing interfaces will be essential. The candidate is expected to demonstrate qualifications
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expression using microfluidic analysis. Applications – Applicants should send the following documents in PDF for luiz.stasi@unesp.br (deadline December 12, 2025): 1. A cover letter (maximum two pages A4
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position within a Research Infrastructure? No Offer Description Comparative Genomic and Functional Analysis of Circulating Tumor Cells in Prostate Cancer. We invite applications for a Postdoctoral Fellow to