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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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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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the model to constrain future calving losses from the Antarctic Ice Sheet. Candidates are expected to hold a PhD in glaciology or related discipline, including experience of remote sensing and/or numerical
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of Virginia aims to improve understanding of climate-related hazards (wildfire, drought, flood) and their impacts on natural environments and human communities using remote sensing, Earth system modeling, and
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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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remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services, geographical social
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comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 28 days ago
science. Your profile PhD in Computer Science, AI, Human-Computer Interaction, Computational Biology, Software Engineering, or a related field (or MSc with substantial professional experience). Strong
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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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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