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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Background This postdoctoral position is part of the project “Climate change
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) are an important tool for predicting the impacts of climate change on communities and ecosystems, but their accuracy depends on how well they reflect factors that ultimately drive plant fitness, including resource
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major source of uncertainty regarding global climate change and sea level rise. Accurately representing ice-ocean interactions beneath ice shelves is a major challenge due to the coarse spatial resolution
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available1Company/InstituteLaboratoire d'océanographie et du climat : expérimentations et approches numériquesCountryFranceCityPARIS 05 Contact City PARIS 05 Website http://www.locean.ipsl.fr STATUS: EXPIRED X
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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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• Openness to interdisciplinary research (climate and social sciences) • Good level of scientific English Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-040/Default.aspx
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
diversity of environmental contexts iii) Determine how climate change and management scenarios affect forest contributions, and assess synergies and conflicts between them. The person will establish a
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one is located on Artem campus in Nancy. The thesis will take place within Research Group 102, "Plasmas, Processes, and Surfaces." Context : Greenhouse gas emissions drive climate change, leading
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at the LCC places coordination chemistry as a central tool for tackling current challenges related to climate change, energy transition and life sciences. The planet suffers from an energy crisis – one
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impacts of climate change, but it does not address the underlying causes. SRM is primarily studied using climate modelling, and the feasibility of its deployment remains uncertain. Nevertheless, it has now