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Making in Big Data Scenarios”, funded by the São Paulo Research Foundation (FAPESP), at the Department of Computer Science of the Institute of Mathematics and Computer Science of the University of São
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scientific productivity and solid knowledge of statistics, data science, or econometrics. Knowledge of Large Language Models (LLM), natural language processing, and empirical legal research is a plus. A
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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