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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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, 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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problems in e-commerce, linked to the Thematic Project “Cutting, packing, lot-sizing, production scheduling, routing, location problems, and their integration in industrial and logistics contexts
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27 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Educational sciences Researcher Profile Established Researcher (R3) Application Deadline 30 Mar
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21 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Environmental science Researcher Profile Established Researcher (R3) Application Deadline 10
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7 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Medical sciences Researcher Profile Established Researcher (R3) Application Deadline 23 Mar 2026
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6 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Application Deadline 5 Apr 2026 - 23
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7 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 30 Mar
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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