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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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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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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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a public research laboratory which aims to better understand the functioning of continental surfaces and their interactions with climate and humans. Remote sensing is heavily used by Cesbio scientists
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welcome) in cardiology. You are autonomous, rigorous, organized, You have a sense of quality, clear communication, a collaborative spirit, and a taste for the translational environment You are familiar with
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French National Research Institute for Sustainable Development | Montpellier, Languedoc Roussillon | France | about 1 month ago
project is hosted, focuses on data sciences, remote sensing, climate and environmental research. Heat extremes are among the deadliest meteorological phenomena, and their intensity and frequency
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran
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Eligibility criteria . PhD in atmospheric sciences • Knowledge of cloud physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work
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the broad sense. We are recruiting a Post-doctoral researcher invited to propose a research project on the computer processing of sound and musical data within the Studio for Creation and Research in
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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust