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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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(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
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your experience in the field. For more information, please access the complete call for applications at https://gbdi.icmc.usp.br/projects/ihealth_md/ . More information about the fellowship is at
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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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, including a FAPESP-style CV summary , postgraduate transcripts, and a cover letter (up to 1,500 words). Check the call: https://www.labcidade.fau.usp.br/postdoctoral-fellowship-mapping-legal-risks-in-eviction