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1 Nov 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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8 Oct 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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31 Oct 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 21 Nov 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job...
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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8 Oct 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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4 Sep 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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4 Sep 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Mathematics Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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of graphs and summaries of descriptive statistics in spreadsheets and other similar software;Desirable proficiency and experience in programming crawlers for jurisprudential data mining (text mining);Ability
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validate the predictions of the ML models by means of atomistic modeling, in particular density functional theory (DFT) calculations, obtaining simulated electronic and emission spectra for the CDs. Finally
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. Dr. Rômulo Augusto Ando (raando@iq.usp.br ), as part of the FAPESP Thematic Project “Signal-Enhanced Spectroscopies: Nanomaterials, Theory, and Computational Simulation” (grant number 2022/11983-4