Postdoctoral researcher in remote sensing applied to the tropical forests of Central Africa (M/F)
The French National Centre for Scientific Research (CNRS)
France
Summary
Analyze satellite-derived greenness and canopy water-content responses of Central African forests to intra-seasonal and interannual dry-season variability using time-series statistics, clustering, and machine learning. Suited to candidates with remote sensing and Python skills.
