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to positively influence these alarming epidemiological data. The minimum requirements for the post-doctoral candidate (PD) include prior experience in platelet biology, physiology, and pathophysiology; methods
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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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). 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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, 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
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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