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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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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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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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, aiming to expand research fields. It includes the theoretical systematization of database aesthetics and the development of case studies to propose solutions that optimize metadata use. Activities involve
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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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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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-effective use of network signaling. The main idea is to explore new optimization approaches and robust techniques to handle channels and other parameter uncertainties and temporal variability, along with
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Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. HIDROSIS is hosted by the University of São Paulo's Engineering School (POLI-USP). The researcher will work on the analysis and
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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position within a Research Infrastructure? No Offer Description A post-doctoral position is available for a research project focused on optimizing the restoration of Juçara Palm (Euterpe edulis) populations