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of São Paulo (USP, Ribeirão Preto, Brazil). Applications must be sent to the e-mail ebert@ffclrp.usp.br with the title “Postdoctoral Application”, with the following documents attached: 1. Curriculum
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, uncertainty, and digital platforms; - Methods: Gioia, Langley, Eisenhardt, CNA, QCA; structural equation modeling, neural networks; - Fluent communication in Portuguese and English is considered a plus. The
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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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). The position offers the opportunity to interact with international collaborators and industry partners. The fellow is expected to explore and design solutions based on machine learning (ML), as well as the use
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with the main objectives of the projects, meaning he/she must: 1. Develop and optimize end plates for solid oxide fuel cells (SOFCs) using multiphysics topology optimization, aiming to ensure structural
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–atmosphere interactions in the South Atlantic and their impact on extreme events over Brazil. Simulations from PMIP4-GCM will be used as initial and boundary conditions and validated against proxy data
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function, and impact on virus-host interactions. In vitro and in vivo mouse models will be developed to study the effects of OROV microRNA expression in placental cells and the impact on vertical