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work and will be made by a French PhD student. Combining data from Eucalyptus stands and experimentations in Ecotron will allow boron fractionation between different soil, tree and water reservoir
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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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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our
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open science, peer and student mentoring, reproducible workflows, and collaborative tools. The project’s scope includes event detection and classification (earthquakes, landslides, lahars, glacier motion
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several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims
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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and