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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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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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sciences discipline such as oceanography, remote sensing, or meteorology. • Excellent data management and computing skills. • The ability to engage with and work with a wide variety of international
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, and geospatial decision-support tools using ecological surveys, remote sensing, and airborne LiDAR data. The position offers opportunities to collaborate with government agencies, industry partners, and
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into many novel aspects of developing offshore digital twins, such as sensing, data handling, physics and AI modelling, software development, as well as experiments at the Cranfield Ocean Systems
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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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energy for tropical forests. Analyze complex datasets with the NGEE-Tropics data team, including eddy covariance, forest census, plant ecophysiology, remote sensing, land use/land cover change Investigate
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this role, you will have: A completed PhD or master’s degree in a relevant discipline, together with relevant research experience. Strong knowledge and understanding of Aboriginal cultures and demonstrated