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to be developed by the postdoctoral researcher will focus on proposing an innovative approach based on semantic segmentation with deep neural networks for the identification of multiple facies classes in
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” project networks; fostering dialogue and appropriation among the project’s research network; integrating different forms of knowledge and epistemologies (hegemonic and non-hegemonic); and leading creative
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. The postdoctoral fellowship will support the development of a transversal and pluriepistemic knowledge production process within the groups, networks, and contexts linked to the project, also incorporating dialogue
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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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., decision trees, logistic regression, Naive Bayes, SVM); Artificial neural networks and deep learning; Dimensionality reduction (e.g., PCA, Johnson-Lindenstrauss); Classical methods for clustering (e.g., k
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) research network and to broaden the academic and social impact of the project. This opportunity is open to candidates of any nationality. The selected candidate will receive a Post-Doctoral fellowship from
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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
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objectives. Actively participate in recruitment fairs, networking sessions, and promotional events. Qualifications Fluency in English and Spanish (Preferred) The candidate must have a clear interest in working
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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