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Field
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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Geohazards risk assessment and management via remote sensing Energy geotechnics Advanced experimental testing and field instrumentation Research Project: The successful applicant will lead a fascinating
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
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team and complete projects without constant supervision. Understanding the complexity of ecological data sets and the analysis thereof is essential to the project. Also, the integration of remote sensing
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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satellite remote sensing and chemical transport modeling to characterize air pollution and climate change, and their public health impacts and opportunities for mitigation. This position will work with the
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(extended-SWIR) for applications related to remote sensing, spectroscopy, LIDAR and communications. The candidate will be in charge of the design, fabrication and characterization of quantum dot laser
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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers