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change, and other environmental challenges in Southeast Asia. Its key strengths include interdisciplinary expertise, advanced geophysical and remote-sensing capabilities, extensive regional field
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the project leader in the research project - “Remote sensing of urban climate, ecosystem, environment and GeoAI”. Qualifications Applicants should have a doctoral degree or an equivalent qualification in Remote
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appointment and potentially renewable based on performance and funding availability. Key Responsibilities: Develop remote-sensing and geospatial datasets for monitoring land-use change and environmental systems
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emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and
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₃ emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS 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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geospatial datasets. Integrating remote sensing datasets (e.g., optical, LiDAR, SAR) with ecological or environmental data. Proficiency in statistical computing and geospatial analysis using R and/or Python
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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-person job, and the Fellow must reside in Carteret County to work with community partners – this job is not eligible for remote work. The NSOE Community Engagement Fellow at DUML will support organizations
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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