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Areas (Codes 25–29) 1. Machine Learning (Code 25) Objectives: Support UFABC’s undergraduate and graduate programs, strengthen research in Machine Learning, and expand English-taught course offerings
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will focus on integrating image processing, machine learning, and deep learning techniques to improve the characterization and modeling of reservoir rocks. In the first stage, CT, NMR, and BHI images
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» OtherEducation LevelPhD or equivalent Skills/Qualifications Field of Knowledge: Computer Science / Geology / Geophysics / Electrical Engineering / Mathematics - Field of Activity: Machine Learning Additional
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experience in stellar astrophysics, survey data analysis, or machine learning, and strong programming skills. The position is for 12 months (renewable), based at IAG-USP. The fellowship is R$ 12,570/month