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; - Availability for full-time dedication; - Proven ability in scientific communication in English and clinical communication in Portuguese; - International experience or availability and interest in academic
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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developed in a topic related to Plant Pathology. The candidate must demonstrate training and aptitude in the described field, as well as the ability to conduct interdisciplinary research. Knowledge and
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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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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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, candidates are strongly encouraged to consult the FAPESP Post-Doctoral Fellowship guidelines, available at: https://fapesp.br/en/postdoc and https://mentoriapd.fapesp.br/bolsista . The fellowship is initially
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, gravity and strings. Candidates are expected to demonstrate a capacity for independent research work, ability to collaborate in the supervision of PhD students and should have a publication record
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, analyzing how these movements position themselves within power relations and climate action networks, articulating knowledge, subjectivities, and public policies. The post-doctoral researcher will adopt
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; ability to work in multidisciplinary teams. Application: Candidates should send an email to rgoncalves@ifsc.usp.br by January 20, 2026, with the subject “PD Fellowship Green Hydrogen – [Name]”, including a