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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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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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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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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 funded by
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language); iv) knowledge on restoration ecology; v) experience in GIS; vi) oral and written communication skills in English. Dedication of 40 hours per week is required. The duration of the scholarship is 36
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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