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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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professional experience; • Letter of recommendation (optional). Application process: • Prepare an email to andbergs@usp.br ; • Include “Application for [PD2/HIDROSIS]” in the subject line; • Gather all required
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. The entire process must be supported by Artificial Intelligence technologies and should also encompass explainability techniques. The fellow will carry out research within the scope of the Science Center
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configurations hinders the creation of generalizable solutions for processing these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar
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artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific configurations hinders the creation of generalizable solutions for processing
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Letter (2 pages); c. Three professional references. Selection process in English. The fellow will be based at EMBRAPA Instrumentation in São Carlos, São Paulo state, Brazil. EMBRAPA Instrumentation is one
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identifying systemic events in the Brazilian Interconnected Power System (SIN). In addition, the project proposes the development of a processing and graphical visualization platform based on Grafana, enabling
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) and supervised by Prof. Diogo Rosenthal Coutinho from USP's Law School (FD). The fellowship aims to develop a methodology to identify and systematize legal risks in eviction processes, mapping legal
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lipid–carotenoid interactions is required. Experience in in vivo models, extraction and quantification of bioactive compounds, industrial microbiology, and process development—preferably using green
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Date: April 2026. Application Process: Applications must be submitted between January 25 and February 10, 2026, to the email pereira.filho@unifesp.br with the subject line “PD Application”. Required