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Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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integrity, uniform pressure distribution, and efficient thermal management under high-temperature operational conditions (500-1000 °C); 2. Implement and validate an advanced computational framework
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and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic
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University of Campinas (UNICAMP) in Brazil, have an open call for 2 post-doctoral fellowships for the project “Hybrid hyperspectral-SAR remote sensing for agriculture application”, an international cooperation
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and pasture phenotyping, focusing on the use of advanced remote sensing technologies as drones and satellite imagery. The fellow will develop phenotyping tools and protocols to identify traits
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the possibility of extension. We are looking for PhDs in Mathematics, with experience in Hyperbolic Partial Differential Equations (PDEs), or more in general, evolution equation in the sense of Petrowsky, and who
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experience in Hyperbolic Partial Differential Equations (PDEs) (or more generally in evolution equations) in the sense of Petrowsky, and who have defended their PhD for a maximum of 6 years. Selection criteria