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an interdisciplinary environment as well as excellent facilities for remote sensing research and numerical simulation and inversion Opportunities to being part of the national and international scientific community PhD
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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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systems for remote operation. Secondment opportunities University of Roma Tor Vergata, Pervasive Electromagnetics Lab http://www.pervasive.ing.uniroma2.it/index.html Co-supervisor: prof. Gaetano Marrocco
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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or
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of the most interesting and important environmental changes are taking place), and are typically destructive to the target plants. Remote sensing methods --- ranging from handheld and drone-based measurements
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size, organic carbon and developing geochronologies will also be beneficial. Applicants with skills using remote sensing techniques such as LiDAR to monitor sediment transport and dynamics are also
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and defend the results obtained in national and international scientific meetings Supervise PhD and Master students as well as students in practices and internships Where to apply Website https
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for the postdoctoral position. Other relevant qualifications a) Educational background - PhD in SSD AGRI-03/B with particular reference to remote and proximal sensing of forest resources - Forestry and Environmental
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). We are seeking a post-doctoral fellow interested in employing NASA and perhaps non-NASA remote sensing