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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
researchers/groups (e.g. International Water Research Institute, Geology & Sustainable Mining, Soil and Fertilizer Research in Africa) on multidisciplinary research projects with Remote Sensing and GIS
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
researchers/groups (e.g. International Water Research Institute, Geology & Sustainable Mining, Soil and Fertilizer Research in Africa) on multidisciplinary research projects with Remote Sensing and GIS
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seeking a Lecturer to teach introductory and upper-level courses in Geographic Information Systems (GIS) including Introduction to GIS, Advanced GIS, Remote Sensing; teach sophomore-level Environmental
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Data Science, PhD in Applied Statistics or Computer Science with research focus on natural resource remote sensing Required Other Additional Preferred Experience or education in agriculture, natural
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specialisation in GIS and Remote Sensing that will be able to contribute to the development of our discipline and academic environment at INES. Job description The work duties of a Senior Lecturer consist chiefly
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we’re looking for: A PhD or equivalent in geospatial science. Advanced skills and demonstrated experience in using Geographic Information Science and Remote Sensing techniques. An emerging (for recent
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researchers/groups (e.g. International Water Research Institute, Geology & Sustainable Mining, Soil and Fertilizer Research in Africa) on multidisciplinary research projects with Remote Sensing and GIS
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Water Research Institute, Geology & Sustainable Mining, Soil and Fertilizer Research in Africa) on multidisciplinary research projects with Remote Sensing and GIS components, Present research results
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and environmental sustainability Use advanced technologies, such as Geographic Information Systems (GIS) remote sensing, “Model numeric du terrain”to gather, and analyze data on soil and plant
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: A Master's or PhD degree in a relevant field, i.e. Data Analysis, Computer Science, Environmental Science, Remote Sensing or Civil Engineeing with a computational focus. Demonstrated expertise in