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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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1 Sep 2025 Job Information Organisation/Company Institute of Astronomy, Geophysics and Atmospheric Sciences Department Astronomy Research Field Astronomy » Astrophysics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Brazil Application Deadline 23 Sep 2025 -...
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staff position within a Research Infrastructure? No Offer Description The call is aimed at researchers with proven experience in research and extension in public policy analysis and Agroforestry Systems
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experience in molecular biology is required, especially in techniques such as DNA/RNA extraction, PCR and genomic analysis, as well as experience in data analysis using bioinformatics tools. Knowledge of next
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, this work will contribute to advancing geological interpretation and enhancing the efficiency of reservoir analysis. Where to apply E-mail helio@ic.unicamp.br Requirements Research FieldComputer science
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proteomic analysis and synthetic biology. Candidates must have defended their doctoral thesis within the last 5 years. The selection process will consist of an analysis of their CV, experience, and
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Research Foundation) to work on the project “Sleep and biological rhythms in family and social life: a network and family-based analysis in urban and rural areas of the Amazon region” which is part of
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) and hosted at the Institute of Energy and Environment (IEE-USP). Applicants must have experience in atmospheric numerical modeling, climate data analysis, and extreme events. Applications must include
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of biomarkers (glucose, uric acid, and lactic acid), using flexible polymeric substrates and surface modification with metal oxides synthesized via CO2 laser. Sensors will be coupled with a miniaturized NFC
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; Previous experience in transcriptome data analysis from RNA sequencing (RNA-seq); Strong ability to interpret results and formulate hypotheses based on computational data. About the Project: The project aims