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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Lisboa, Lisboa | Portugal | 2 months ago
, Spatial Modelling, and InSAR applications; Immediate availability; Proficiency in Portuguese and English (fluency and accuracy in spoken and written communication). Languages PORTUGUESE Level Excellent
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multi-platform SAR datasets) for the detection and monitoring of ground deformation. • Development and application of clustering techniques for the analysis of InSAR time series, considering both the
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Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg , https://ntu.edu.sg/ase , and https://ntu.edu.sg/cee . We are looking to fill a total of 5 Research
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requirement, that you have prior experience with machine learning, satellite remote sensing (e.g. InSAR/DInSAR), or one or more programming languages. Insights into glaciological topics are also an advantage
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Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg , https://ntu.edu.sg/ase , and https://ntu.edu.sg/cee . We are looking to fill a total of 5 Research