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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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with software such as NVivo, RStudio, Biblioshiny, UCINET, SmartPLS, and IBM SPSS. The position is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Post-Doctoral Fellowship
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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of the main project; 2. Improve proficiency in the inverse modeling techniques provided by the PEST software, and apply them to the experimental data for calibration of the MFLUX model, as specified in the main