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veterans and individuals with a disability. Minimum Qualifications PhD in Ecology, Environmental Science, Biology, Remote Sensing, Geography, or a related field by the start of appointment Demonstrated
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Qualifications PhD in Ecology, Environmental Science, Biology, Remote Sensing, Geography, or a related field by the start of appointment Demonstrated experience conducting quantitative research with
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– UMR 5600, Université Lumière Lyon 2; fluvial geomorphology, geomatics and remote sensing), and Thibault Datry, co-supervisor (RiverLy, INRAE; ecology and functioning of intermittent rivers
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of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and have the opportunity to contribute to various cutting-edge research areas. Several
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collect data from laboratory, field, proximal sensing, and remote sensing sources. Prepare samples and analyze laboratory, field, and geospatial datasets to support research objectives. Develop and
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, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg
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Remote Sensing Center (NERSC, project leaders), and researchers from ETH-Zürich in Switzerland are international collab-orators. For more information and how to apply: https://www.jobbnorge.no/en
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Your Job In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in computer science, remote sensing, ecology or a related discipline Essential Application Research
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Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research