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)CountryBrazilState/ProvinceSão PauloCitySão PauloPostal Code05508-090StreetRua do Matão, 1371Geofield Contact State/Province São Paulo City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500
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$ 12,570.00/month) and a Technical Reserve corresponding to 10% of the annual fellowship amount to be spent exclusively on research-related expenses. To apply, please follow the instructions at http
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dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
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work only; prospective candidates who do not plan to live in São Paulo city (Brazil) should not apply. Applications must be submitted via email to: setubal@iq.usp.br . The following documents must be
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information about the fellowship is at: fapesp.br/oportunidades/9059 . Where to apply Website http://www.fapesp.br/oportunidades/9059 Requirements Additional Information Eligibility criteria Eligible
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and invite all participants every 4 years to visit the Investigation Centers to undergo new exams. Every year, we use media strategies to ask questions about their health, including the study outcomes
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on eligibility and benefits is available at: https://fapesp.br/en/postdoc . More information about the fellowship is at: fapesp.br/oportunidades/8978 . Where to apply Website http://www.fapesp.br/oportunidades
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, water, soil, and food. The objectives include the characterization of flexible substrates for use in sensors, the synthesis of nanomaterials as the active layer, as well as the application of 3D printing
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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(FCT-UNESP) in Presidente Prudente – but the selected candidate must be open to working and communicating with all researchers on the team (see https://bv.fapesp.br/en/auxilios/118867 ) The selected