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of aerosol characterisation using the synergy between remote sensing and in-situ methodologies. The successful candidate will mainly focus on mineral dust and on the Eastern Mediterranean and Middle East (EMME
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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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; Biometeorology and land atmosphere interactions; Education Level : PhD in Remote Sensing, Environmental Science, Hydrology, Atmospheric Science, or a related discipline. At least 5 years of postdoctoral experience
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Your Job: Remote sensing data from satellites are an extremely valuable information source to improve air quality predictions. They monitor aerosol and trace gases often with global coverage, which
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present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 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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Safe and efficient ice navigation supported by satellite data Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice dynamics and develop the capability
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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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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water