87 software-engineering-model-driven-engineering-phd-position-"https:" positions in Brazil
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staff position within a Research Infrastructure? No Offer Description This project is focused on the development of an approach capable of recommending refactoring opportunities in legacy system code
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to staff position within a Research Infrastructure? No Offer Description Opportunity for a FAPESP Post-Doctoral Fellowship linked to the Center for Innovation in Mental Health (CISM), one
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staff position within a Research Infrastructure? No Offer Description Opportunity for a Post-Doctoral Fellowship to work on the project “MicroRNA profiles of the C19MC and C14MC families involved in
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Fellowship (R$ 12,570.00/month) plus a Technical Reserve equivalent to 10% of the annual fellowship. Applications must include a FAPESP CV Summary (current model, available at https://fapesp.br/en/6351 ), two
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position within a Research Infrastructure? No Offer Description Activities: The post-doctoral fellow will be responsible for: i) Acquisition, processing, and digital classification of satellite and drone
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related to staff position within a Research Infrastructure? No Offer Description This research aims to investigate the mechanisms that control the spatial and temporal variation of soil organic carbon (SOC
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position within a Research Infrastructure? No Offer Description Activities: The objective of this post-doctoral position is to build a database on social bonds and their evolution over time using various
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position within a Research Infrastructure? No Offer Description The Brazilian Center for Research in Energy and Materials (CNPEM) is seeking highly motivated candidates for a Postdoctoral Fellowship under
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staff position within a Research Infrastructure? No Offer Description Title: “Enhancement of the FWI Workflow Using Spectral Techniques” Research Areas: Full Waveform Inversion (FWI), parameter
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs