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-862StreetRua Monteiro Lobato, 255 (Departamento de Biologia Vegetal) Contact State/Province São Paulo City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500 - Alto da Lapa Postal Code
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Researcher may choose either one of the two research topics or both: i) characterization of biogenic VOCs and SOA chemistry, or ii) characterization of SOA particle deposition and fluxes onto forest vegetation
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highly motivated Postdoctoral Scholar to work at the interface of fire ecology, forest dynamics, and ecosystem modeling as part of the Western Fire and Forest Resilience Collaborative (WFFRC; https
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, including tracking and downloading movement and activity data, nest checks, carcass recovery and vegetation measurements as needed. 10% Maintains and improves an integrated data management system for summary
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carbon stocks (soil, sediment, and vegetation) in ecosystems in mainland France - Contribute on an ad hoc basis to the work of various teams assessing carbon stocks - Provide support for mapping work
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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an incentive when they purchase fruits and vegetables. We are evaluating various modalities of DUFBNY (e.g., community support agriculture, online shopping). To learn more visit https://doubleupnys.com/ and
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Associate will perform independent and collaborative roles in vegetable physiology-environmental stress research requiring an advanced level of knowledge in a field of plant science, predominantly
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model
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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