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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
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of Python programming and machine learning tools, deep learning, and large language models is desirable. The fellow will be based at the Engineering College of the São Paulo State University (UNESP), in its
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/Electronic/Industrial Engineering (obtained less than seven years ago); • Academic or professional experience in areas related to knowledge representation, such as Ontologies or Metadata and Python programming