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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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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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for calibrating remote sensing instruments and validating national and regional aerial biomass maps. The One Forest Vision initiative (OFVi project, https://www.oneforestvision.org/eng ) has enabled the creation
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FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria PhD Thesis in population ecology Skills in data analysis, GIS data and database management Skills in writing
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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programming. - Interest in natural hazards, particularly gravitational processes. - Doctoral and/or post-doctoral experience in one or more of the following fields: remote sensing, geophysics, natural hazards
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of coupling observations and measurements (field and remote sensing), laboratory experiments and numerical modelling (see page https://lmv.uca.fr/volcanology/ ). Where to apply Website https://emploi.cnrs.fr
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Additional Information Eligibility criteria Materials science and/or engineering, a possible experience on polymers would be welcome. Experimental taste. Website for additional job details https