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large, multi-institution, project to advance the remote sensing of freshwater resources. The research will be conducted at the Environmental Remote Sensing Laboratory, under the direction of Dr. Hongxing
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
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and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs-und-gleichstellungsplan/) PhD awarded by the application deadline or within the last 4
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 days ago
or Geoinformatics, or related areas. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application in environmental
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access to state-of-the-art infrastructure. Supervision by PD Dr. Gerrit Kuhlmann, with joint affiliation to the Remote Sensing Laboratories at the University of Zurich. The PhD degree will be awarded by
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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are rapidly evolving – ranging from remote sensing and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured