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, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them. The research project of the PhD student will thus focus on defining a rigorous testing
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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your experience and provide factual evidence for it (e.g., specific publications, open-source code repositories). A scientific CV. It should include contact details and link to your Google Scholar
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publications). A scientific CV with contact details and link to your Google Scholar profile. List of publications (and patents, if applicable) Contact details of 2 references Please apply ONLINE formally through
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environmental variables to develop LUE, WUE and canopy conductance function for diagnostic mapping of forest ecosystem functioning metrics. We will apply time-series analysis to investigate seasonal and