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study the climate resilience and threshold of trees in Singapore, using a wide array of ground observations (i.e., phenocam, Lidar, sap flow) and satellite remote sensing. The Postdoc is expected
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Infrastructure? No Offer Description Are you a skilled modeller, statistician or remote sensing expert with an interest in crop-climate modelling and analysis for the global south? Can you work in a multi
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Are you a skilled modeller, statistician or remote sensing expert with an interest in crop-climate modelling and analysis for the global south? Can you work in a multi-disciplinary team towards
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View All Vacancies Are you a skilled modeller, statistician or remote sensing expert with an interest in crop-climate modelling and analysis for the global south? Can you work in a multi
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to visit data collection sites in the tea growing regions of Kenya. About You You will be educated to doctoral level (or close to completion of PhD) in some aspect of remote sensing, agricultural engineering
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knowledge of these areas of research is essential, and a strong background in remote monitoring in epilepsy is expected. It is essential the role holder has completed training in neurology and is working
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comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
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well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and publication of scientific articles. The post will involve remote supervision of laboratory
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statistical analysis of rip current incidents and met-ocean forcing data. You will also develop innovative methods to identify rip hazard hot spots through remote sensing and machine learning, and you will
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applications from engineers - scientists with expertise in computer engineering and/or programming and/or algorithm deployment within the aviation sector covering intelligent sensing and acquisition and