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Assistant to join the EOS Remote Sensing Lab (EOS-RS) and work towards developing automated capabilities for satellite-based monitoring of natural hazards and mapping of disasters across Southeast Asia
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, Assoc. Prof. Sonny Rosenthal, Asst. Prof. Yong Ming Lee, Prof. Ute Meta Bauer, and Assoc. Prof. Laura Miotto Cross Cutting Theme 2: Satellite remote sensing This theme will map and monitor the impact and
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conferences Job Requirements: Bachelor’s degree in Atmospheric Science, Climatology, Remote Sensing, Computer Science, or a related field Experience in data management, visualization, and analysis Proficiency
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, Climatology, Remote Sensing, Computer Science, Computer Engineering or a related field Experience in numerical weather prediction models testing Familiarization with physical-based or machine learning methods
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, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and collaboration with the High-Performance
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observation stations in collaboration with neighboring countries in Southeast Asia, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational
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Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS