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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 invaluable insights
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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: Bioclimatology Forest Inventory and Remote Sensing Forest Botany and Tree Physiology Ecoinformatics, Biometrics and Forest Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Work
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science or related fields. *Proven practical experience with In-SAR data. *Proven practical experience with high-resolution remote sensing data. *Familiarity with earth observation software, e.g. QGis, SNAP
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, such as understanding natural hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be
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, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies
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, experience of remote sensing/GIS and modelling is meriting. We are looking for candidates with creativity, power of initiative, independence and good collaboration skills. The assessments will be based
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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, retrieval models informed by routinely available remote sensing data in the visible-near infrared spectrum, or more complex land surface models which assimilate those data. However, biophysical variables