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descriptions and main tasks of the postdoctoral position You will conduct research in the interdisciplinary fields of remote sensing, spatial analysis, hydrology, and landscape. You will be expected
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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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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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French National Research Institute for Sustainable Development | Montpellier, Languedoc Roussillon | France | 9 days 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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/autumn floods. The interdisciplinary SUPRAGRASS project addresses these challenges by developing operational tools based on remote sensing, ecosystem simulation, and stakeholder engagement. The aim is to
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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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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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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