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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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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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staff position within a Research Infrastructure? No Offer Description The Stochastic Systems Modeling project in São Paulo state, Brazil, is recruiting one post-doctoral fellow in the fields
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staff position within a Research Infrastructure? No Offer Description The Stochastic Systems Modeling project in São Paulo state, Brazil, is recruiting one post-doctoral fellow in the fields
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staff position within a Research Infrastructure? No Offer Description The post-doctoral position is part of the project “Integrated Modeling and Predictive Analysis of Flood Risk under Distinct
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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(HR+/HER2-) and aims to develop predictive models of therapeutic response using machine learning combined with Fourier-Transform Infrared Spectroscopy (FTIR) applied to blood, saliva, and tumor tissue
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or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
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purpose including a proposal for development based on the project (available at: News – https://www.cosmopoliticasdocuidado.net/ ), and a Curricular Summary using the model established by FAPESP (the São
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qualitative and quantitative aspects. - Contribute to high-impact academic publications, disseminating theoretical and methodological innovations generated by research. - Establish a replicable model for