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Field
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in the context of global sustainability standards. Key Responsibilities: Research and Development: Conduct cutting-edge research that utilizes GIS, remote sensing, and other spatial technologies
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://www.slu.se/en/about-slu/work-at-slu/ Remote Sensing for Integrative Forest Management Description: We are now seeking a PhD candidate to work on the use of remote sensing for integrative forest management (IFM
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staff position within a Research Infrastructure? No Offer Description The project aims to apply artificial intelligence (AI) to map agricultural plastic in remote sensing images. The fellow will work
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with expertise in remote sensing. The successful candidate will be expected to teach courses in introductory remote sensing (2-3 courses per year), advanced remote sensing, LiDAR theory and applications
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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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Candidates should normally have or be about to obtain (usually within three months) a relevant PhD in Geography, Palaeoecology, Ecology, Environmental Sciences, Environmental Engineering, Remote Sensing
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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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of GIS, remote sensing, and other analytical software tools. Excellent analytical, organizational, and problem-solving skills. Strong publication record in relevant academic journals. Excellent