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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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language); iv) knowledge on restoration ecology; v) experience in GIS; vi) oral and written communication skills in English. Dedication of 40 hours per week is required. The duration of the scholarship is 36
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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