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satellite remote sensing and a wide array of ground observations (i.e., phenocam, Lidar, sap flow). The Postdoc is expected to integrate the advanced knowledge in plant physiology, remote sensing and
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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research lines, including Plasma Physics, Coastal Hydrodynamics, Remote Sensing applied to oceanography, Physical Oceanography, Environmental Radioactivity, and Thermophysics, promoting scientific output and
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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute
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significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics About the role
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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the WRF and/or ICON numerical models and with satellite or remote-sensing data (e.g., vegetation indices); (ii) with knowledge of land-surface modelling and model-coupling strategies; (iii) with a
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the quality of open geodata through the combination of machine learning and multimodal remote sensing. Your responsibilities: Research related to the topics of the project and beyond Taking a leading