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Paulo city, Brazil. The fellowship duration is 24 months. Evaluation criteria include: (1) compliance with FAPESP postdoctoral fellowship obligations and (2) scientific performance and productivity
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linked to the development of the following activities in this project: conducting cutting-edge research on Sustainability and Circular Economy, exploring innovative data analysis tools and theories
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to the Postdoctoral Program. Candidates with international research experience (short- or long-term research stays and participation in collaborations) will be valued. The candidate must also be available to reside in
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: Interdisciplinary Dimensions of Risk in Times of Climate Change and Housing Crisis”, coordinated by Prof. Raquel Rolnik from the University of São Paulo's School of Architecture, Urbanism and Design (FAU-USP, Brazil
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of doctoral degree certificate; Curriculum Vitae; research proposal. Email subject: “Postdoctoral fellowship”. This opportunity is open to candidates of any nationality. The selected candidate will receive a
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: • Updated CV; • Research proposal (up to 10 pages, aligned with FAPESP postdoctoral standards); • Statement of interest highlighting academic trajectory and specific interest in the project. This opportunity
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candidates should send the following documents to seleca.geracao@gmail.com by the deadline indicated in the announcement, with the subject line “Postdoctoral Fellowship in Thermal Plasma – [Applicant’s Name
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://cpodv.fflch.usp.br/en/postdoctoral-fellowship-cultural-visual-accessibility . This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in
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integrating AI systems with collection management. How to apply: Applications: acervosdigitais@usp.br Subject “Postdoctoral Fellowship – Selection Process – [FULL NAME]”. Required documents: Curriculum Summary
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to staff position within a Research Infrastructure? No Offer Description CIATec selects 1 FAPESP Postdoctoral Fellow to work on the development of predictive models and recommendation systems, based