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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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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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. The University of São Paulo's School of Arts, Sciences and Humanities (EACH-USP) is CIATec's host institution. Requirements: PhD completed less than 7 years ago in Education or related areas; experience in
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. The entire process must be supported by Artificial Intelligence technologies and should also encompass explainability techniques. The fellow will carry out research within the scope of the Science Center