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of forest ecology, with a particular focus on estimating ecological and forest variables using remote sensing data. The activities will include the analysis and integration of satellite and airborne sensor
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of recognized language certificates(pdf) Online application (link) Website of the procedure (link) Project Forest Ecology and Remote Sensing Deadline for sending applications and publications Within 30 days from
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available resources (eg. remote sensing, data repositories); interaction with national and international partners of the Unit; data analysis and elaboration of related texts, under the supervision
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collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Enjoy
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supervisors: George Lavidas DC 9: Acoustic remote sensing of habitats within and outside rising offshore wind farms Recruiting Institution: Christian-Albrechts-Universitaet zu Kiel - CAU Enrolling PhD school