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processes causing consecutive landslides will be undertaken. Training The individual joins a team of international experts who will support through training in remote sensing and GIS, field geomorphic
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erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 12 days ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains
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Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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, remote sensing, GIS tools/software, database management and data acquisition; good organizational skills; good command of spoken and written English and Portuguese; driving license. Other requirements
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
foundation in data analysis, with preferably some experience in (microwave and/or optical) remote sensing data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral