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be spent on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9079 . Where to apply Website http://www.fapesp.br/oportunidades/9079
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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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5 Mar 2026 Job Information Organisation/Company Engineering Research Center Plant Health in Sugar Cane Department CEPENFITO Research Field Agricultural sciences » Agronomics Researcher Profile
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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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on eligibility and benefits is available at: https://fapesp.br/en/postdoc . More information about the fellowship is at: fapesp.br/oportunidades/8978 . Where to apply Website http://www.fapesp.br/oportunidades
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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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), two reference letters, and one letter of intent, to be sent to prjacobi@gmail.com . More information about the fellowship is at: fapesp.br/oportunidades/8882 . Where to apply Website http
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which should be spent on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/8908 . Where to apply Website http://www.fapesp.br
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motivation letter (up to 2 pages) and a CV. For more information, visit: https://pages.cnpem.br/cepidcemol/oportunidades/ . This opportunity is open to candidates of any nationality. The selected candidate