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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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) 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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on the characterization of biomolecular coronas in nanomaterials, colloidal stability in complex biological media, and in vitro biological and toxicological effects, using integrated advanced techniques
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complexes to the extracellular milieu or host cells. The Xanthomonas citri T4SS (T4SSXAC) is a minimized system with eleven VirB subunits (VirB1–VirB11) and the coupling protein VirD4. All T4SSs contain
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Institute (InCor) of Hospital das Clínicas (HC), the hospital complex run by the University of São Paulo's Medical School (FM-USP) in São Paulo city, Brazil. This opportunity is open to candidates of any
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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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at the State University of Campinas (UNICAMP) and the Biochemistry of Bacterial complexes Laboratory, coordinated by Cristina Alvarez-Martinez and Leonardo Talachia. Both research groups integrate the Research
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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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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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deeper understanding of the complex relationship between climate controls (i.e. modes of variability) and extreme ocean temperature events such as MHWs, which is essential for predicting future climate