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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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Fellows specialising in agronomy and remote sensing. The project team also includes eight academic staff, three PhD students, and expert industry Research & Development teams based in Kenya and The
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researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading
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will use the TOPAZ system, the neXtSIM sea ice model, the Ensemble Kalman Filter and remote sensing data. The TOPAZ system and the neXtSIM model are two forecasting systems developed at NERSC
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and theoretical experience in geomatics; or geospatial analysis and remote sensing are required. Research interests are open, though we are especially encourage candidates with strengths in one or more
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using the latest advances in climate science, hydrological modelling and satellite remote sensing. In collaboration with partners in Zambia, we aim to develop a new generation of environmental risk
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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical
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fields. Individuals in this position will perform technical work supporting the collaboration's scientific research. Research Title: Research scientist: Optical trapping and sensing of nanoparticles (U.S
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of innovative methodologies for the analysis of synergistic multispectral satellite data and very high-resolution remote sensing imagery acquired from Unmanned Aerial Vehicles. The responsibilities include active
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remote sensing (Dr Alex Fraser, University of Tasmania, Australia). The project addresses a key limitation in current satellite monitoring: while sea-ice extent can be tracked, distinguishing between ice