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position within a Research Infrastructure? No Offer Description The project involves the use of models for the hydrological and environmental analysis of watersheds, as well as for assessing the impacts
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) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and efficient results. The proposed technique will incorporate region-specific
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imagery; ii) Collection and analysis of field data; iii) Land use and land cover studies with a focus on agricultural systems; iv) Organization and management of geospatial databases, preparation
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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19 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Medical sciences Researcher Profile Established Researcher (R3) Application Deadline 3 Apr 2026
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conditions. Work Plan Description Objectives: The main objective of this research project is to use real 2D data to optimize the workflow of FWI inversion algorithms. Methodology: 2D seismic data will be used
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28 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 15 Mar 2026
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7 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 25 Feb 2026 - 23
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27 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar
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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