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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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to support research on improving evapotranspiration and ecosystem stress estimates across diverse ecosystems. We are seeking an experienced Senior Scientist with deep expertise in thermal remote sensing and
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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. Atmospheric measurements (in situ and remote sensing) provide a robust method to assess and improve emission inventories and to monitor the effectiveness of reduction measures. The project will develop
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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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climate and geospatial databases. Experience in GIS/Geomatics and remote sensing data analysis. • Languages: French and English (spoken and written) are essential, given the regional context and
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misalignments. 4. Dissemination and contribution to the mission • Present results to CNES, ESA, and industrial partners (Airbus, Winlight Optics). • Contribute to conferences in atmospheric remote sensing and
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
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exert strong erosive power. Seismic monitoring offers powerful tools for detecting and quantifying erosion processes remotely and continuously, with high temporal resolution and over a broad range of