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exchanges; - International scientific publications; - Ability to work collaboratively in a multidisciplinary team. Interested candidates should send an email with their CV, cover letter, and two letters
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, 2026, with the email subject “Opportunity PDP4-2026.” Website for additional job details https://cepenfito.org.br/ Work Location(s) Number of offers available1Company/InstituteEngineering Research Center
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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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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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; 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
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scientific events and/or academic management in collaborative projects; • Strong interpersonal skills, ability to work in a team, and leadership. Applicants must send the following documents to the email