65 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in Brazil
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, Brazil, has one post-doctoral fellowship position available in the area of Food Technology, with a focus on Pulsed Light Technology Applied to Animal-Origin Products. Prerequisites: - PhD completed within
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staff position within a Research Infrastructure? No Offer Description The School of Electrical and Computer Engineering (FEEC) and the Agricultural Engineering School (FEAGRI), both from the State
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position within a Research Infrastructure? No Offer Description Candidates must have research experience or a PhD in Nuclear Technology, with a degree in chemistry, physics, pharmacy or related areas
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position within a Research Infrastructure? No Offer Description The School of Electrical and Computer Engineering (FEEC) and the Agricultural Engineering School (FEAGRI), both from the State University
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for application in different matrices. The candidate must meet the following requirements: - PhD in Bioprocess Engineering, Chemical Engineering, Food Engineering, Biotechnology, or related fields; - PhD degree
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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 University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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) Recommendation letter from PhD advisor. The position is open to Brazilian and international candidates. The FAPESP Post-Doctoral Fellowship provides a monthly stipend of R$ 12,570.00 and a Technical Reserve
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hosted by the UNESP. The Postdoctoral Fellow will be responsible for conducting 3D cell culture experiments using an in vitro model of preeclampsia. Position Profile: - Doctoral degree in Biomedical
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staff position within a Research Infrastructure? No Offer Description The post-doctoral position is part of the project “Integrated Modeling and Predictive Analysis of Flood Risk under Distinct