101 algorithm-development "https:" "Simons Foundation" Postdoctoral research jobs in Brazil
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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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staff position within a Research Infrastructure? No Offer Description The selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost
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Campos, São Paulo state, Brazil, is offering a post-doctoral position, valid for 36 months, funded by the São Paulo Research Foundation (FAPESP). The activities will be developed within the international
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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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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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- conventional species (African mahogany, Australian cedar, mix of native species, etc.). The technical-scientific results obtained in this work may be used for the development of outreach actions and public
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the calibration of the CAETÊ (Carbon & Ecosystem Trait Evaluation) model developed at the State University of Campinas (UNICAMP, São Paulo state, Brazil) for the AmazonFACE experimental site; develop a
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Cerrado species and the measurement of germination/seed traits. The position is ideal for researchers who wish to develop projects involving laboratory and field experiments, trait measurements, and data
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position within a Research Infrastructure? No Offer Description This call refers to a Post-Doctoral Fellowship associated with the Thematic Project “Development of Photoactive Pigments Derived from L
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lipid–carotenoid interactions is required. Experience in in vivo models, extraction and quantification of bioactive compounds, industrial microbiology, and process development—preferably using green