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Python and R; - Training and knowledge in Remote Sensing (optical, LiDAR and SAR data); - Experience in statistical inference and regression analysis applied to the estimation of forest variables using
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GIS and Remote Sensing from Tehran University and in Geography and Spatial Planning from the University of Luxembourg. His research interests concern assessing the effects of daily life environments
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awarded 1 Eligible courses Any applicable Curtin HDR courses. Eligibility criteria Honours / Master’s degree or equivalent qualification in a relevant area (e.g., satellite ocean colour remote sensing
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