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: relevant experience may be evidenced through publications, applications and systems developed, and the research topic of the candidate’s Master’s or PhD project (1 PDF file). Apply via the form: https
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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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. Mandatory requirements: PhD in Social Sciences or a related field, completed less than seven years ago, subject to extensions allowed by FAPESP; proficiency in qualitative methods and basic knowledge
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findings to public-sector partners; and contributing to reports, journal articles, and national and international conferences. Mandatory requirements: PhD awarded within the past 7 years by a recognized