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learning and convolutional neural network architectures is required at the graduate level (MSc or PhD). Familiarity of working with remote sensing airborne and satellite datasets as well as 3D datasets is
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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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in Africa, with a special focus on developing actionable and impactful methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated
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others, and communicate their findings and ideas effectively to a wide range of stakeholders. General Criteria: PhD degree from a recognized University in Computer Science, Quantitative Remote Sensing
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Fully funded PhD research assistantships available at UT Arlington's Hydrology and Water Resources Lab (HWRL), Hydrometeorology and Remote Sensing Research Group. Desired qualifications: Master's
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), you'll be working on rapid information extraction for environmental remote sensing on board spacecraft. Your work will involve applying lightweight Convolutional Neural Network (CNN) models to multi
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the composition and functioning of the Earth’s ecosystems. INES combines data collection from field studies and remote sensing, analysis of geospatial data, and theoretical studies from e.g. ecosystem
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Salary: Salary Commensurate with Experience Location:East Lansing Categories:Education/Training, Health Care Professional, Fixed Term Faculty, Full Time (90-100%), Non-Union, Remote-Friendly Working
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therefore necessary. Teaching of MSc students and PhD candidates will form part of your duties. Industrial experience may be an advantage but is not required, and you should feel comfortable in contacts with
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The Opportunity: We seek a post-doctoral research associate (PDRA) with expertise in radar remote sensing of vegetation. The post holder will develop new methods to retrieve information about woody