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modifications du climat altèrent dès aujourd'hui les rendements agricoles, la qualité des productions (Ollat et al. 2016), mettent en péril la rentabilité des entreprises agricoles (Touzard et al. 2022), et tout
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faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Change Climate Science Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime
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of the Simplified Metastatistical Extreme Value approach and of climate models Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria for qualifications (max 30
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
ecology and ecophysiology. Experience in tree physiology and climate change impacts is a plus. • Strong background in ecological modelling, programming and analytical skills in R and strongly recommended in
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | about 4 hours ago
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1 Apr 2026 Job Information Organisation/Company La Rochelle Université Research Field Computer science Environmental science Computer science » Modelling tools Computer science » Programming
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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
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://www.idpan.poznan.pl/en-us/recruitment and https://psd-ipan.ichb.pl/index.php/en/home/ VI. Research topic: variability among European beech populations in terms of growth response to climate change, quantitative
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in urban and territorial systems. The researcher will focus on the design and application of hydrological, and AI-based modelling approaches to address water-related challenges in urban environments