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18 Apr 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 4 May 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job...
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27 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 13 Apr 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job...
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Science (IME-USP) in Brazil will work at the intersection of High-Performance Computing (HPC) and neuro-symbolic Artificial Intelligence (AI) to combat multimodal disinformation (deepfakes). The activities
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spectrum of artificial intelligence in its various interfaces), the failure of liberal democracies, and the constitution of contemporary subjectivities exiled from themselves. Mandatory requirements - PhD in
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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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-UNICAMP) in São Paulo state, Brazil, is to develop methodologies based on Artificial Intelligence (AI) to enhance Fluid Antenna Systems (FAS) and to fundamentally address the scalability challenges of 6G
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Paulo state, Brazil, in the area of compilers, runtimes, and High-Performance Computing, focusing on the convergence of HPC and Artificial Intelligence. The project will develop runtime optimizations and
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment
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Intelligence applied to education will be considered a differential. Position open to Brazilians and foreigners. FAPESP fellowship of R$ 12,570.00 monthly + Technical Reserve (10% of the annual fellowship amount
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: Artificial intelligence applied to seismics, neural networks, machine learning, synthetic data generation, seismic inversion, geological CO2 storage. Abstract: This research project aims to develop a synthetic