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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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. Where to apply Website http://www.fapesp.br/oportunidades/9104 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country
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which should be spent on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9075 . Where to apply Website http://www.fapesp.br
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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