84 master-"https:" "https:" "https:" "https:" "Dublin City University" positions in Brazil
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addition to supporting field and laboratory activities. They will integrate Net Primary Production (NPP) and the Gross Primary Production (GPP) data to construct a reference carbon budget and assess initial responses
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staff position within a Research Infrastructure? No Offer Description Activities The fellow is expected to: - Conduct original research in Geometry and publish the results in reputable international
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staff position within a Research Infrastructure? No Offer Description Activities The fellow is expected to: - Conduct original research in Mathematics Education and Geometry and publish the results in
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less than 7 years ago. Desirable requirements: - Proficiency in the R programming language; - Ability to read French; - Familiarity with the main Brazilian and São Paulo State statistical databases. How
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original research, contributing to project management and to international academic debates on AI and technological governance. Mandatory requirements Applicants must: • Hold a PhD obtained within the last 7
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available for full-time dedication. How to apply: Applications must be submitted by April 30, 2026, via email to cpodv.fflch@usp.br (copy to megiani@usp.br ). For full details, please visit: https
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to apply Website http://www.fapesp.br/oportunidades/9351 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies
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related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9333 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil
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digital collections; references to up to five recent publications and/or presentations (last three years) demonstrating expertise in the relevant topics. See more: https://www.acervosdigitais.fau.usp.br
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conditions. Work Plan Description Objectives: The main objective of this research project is to use real 2D data to optimize the workflow of FWI inversion algorithms. Methodology: 2D seismic data will be used