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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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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 selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost
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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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Bacteriophages) at the University of São Paulo (USP) invites applications for a FAPESP-funded post-doctoral position to develop bacteriophage bioinformatics methods and to apply these and other methods
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cooperation agreement between both institutions. Position Focus: The postdoc will develop and run realistic simulations of the SWGO (Southern Wide-field Gamma-ray Observatory) detector array and help build
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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
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professional experience; • Letter of recommendation (optional). Application process: • Prepare an email to andbergs@usp.br ; • Include “Application for [PD2/HIDROSIS]” in the subject line; • Gather all required
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Services during Extreme Climate Events. Objective: To develop and validate a Digital Twin model to support real-time decision-making during extreme climate events. Requirements: Experience in research