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the yoke of a number of anthropogenic and climatic constraints whose effects are converging towards a concentration of both population and infrastructure. In France, local authorities' Local Urban
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level in relation to the governance of mobility and migration in the context of climate change. The case studies can be chosen by the candidate and must be justified in the PhD proposal. It is advised
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the dynamics at work concerning the processes of climate tipping points identified in the North Atlantic in particular: (ii) assess our ability to provide effective warning signals concerning the approach of a
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Bioscience and biotechnology Institute of Aix-Marseille (BIAM CNRS-CEA-AMU) | Marseille, Provence Alpes Cote d Azur | France | 23 days ago
position within a Research Infrastructure? No Offer Description PhD co-supervisors: Ben Field, research director CNRS, HDR. Helene Javot, research director CEA, HDR. With the escalating threats of climate
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12 Mar 2024 Job Information Organisation/Company CNRS Department Laboratoire des Sciences du Climat et de l'Environnement Research Field Environmental science Environmental science » Earth science
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30 Mar 2024 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie et du climat : expérimentations et approches numériques Research Field Environmental science
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trustworthy information. Since 2015, Climate Feedback has grown a global network of scientists who review influential climate change media coverage, pioneering a novel approach to "fact-checking" that directly
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or tropical regions. The themes on which the candidate's project should be based concern the monitoring and understanding of ocean circulation mechanisms and marine biogeochemistry on sub-seasonal to climatic
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study sites. This includes remote sensing and Earth observation data for tracking land use changes and climate variables; health surveillance system data; and local population data through community-based
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approaches for multivariate Climate Extremes modelling. To identify and exploit applications of Machine Learning to extreme values. To produce scientific material (papers/articles, conferences, seminars