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learning methods will be applied to link small-scale experimental data and numerical simulations to large-scale reservoir models. This approach aims to more accurately capture the complex heterogeneity
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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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optimization methods to address challenges in agriculture, healthcare, and environmental resource management, improving efficiency, reducing costs, and enhancing sustainability. Focus - We seek a candidate with
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). Additionally, experience with molecular and cytogenomics methods is highly desirable. The candidate’s obligations and other information can be found at https://fapesp.br/en/postdoc . The fellowship is open to
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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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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reendothelialization assays, platelet adhesion assays, and co-culture and immunomodulation studies. They should also be willing to learn new methods as needed, such as chemiluminescence-based nitric oxide (NO) detection
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, uncertainty, and digital platforms; - Methods: Gioia, Langley, Eisenhardt, CNA, QCA; structural equation modeling, neural networks; - Fluent communication in Portuguese and English is considered a plus. The