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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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employment contract within the framework of a Line of Research R&D&I line: Hydroeconomic models for the management of water resource systems and their adaptation to climate change https://www.upv.es/entidades
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of risk models and decision-support tools for environmental health and climate resilience. Working closely with the PI to develop new research ideas, and to write up and present project proposals
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-climatic Extremes (GENAI-X)«, funded by the Carl-Zeiss-Stiftung, addresses a fundamental AI challenge: achieving robust model generalizability in non-stationary environmental systems. Focusing on hydro
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with additional models for continental ice and vegetation components under increasing atmospheric CO₂ concentrations. Perform climate simulations exhibiting tipping behaviour of one or multiple tipping elements
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Hydrology and Climate Impacts has strong expertise in water resources, extreme value analyses, hydrological modelling, and climate impact assessments and is looking, from spring/summer 2026 for two years
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at the University of Southampton: https://software-oasis.com/ Our group is developing an innovative class of 3D climate models to explore the atmospheres and climates of Earth and other planets across the Solar
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stressors such as climate change. Both researchers with a more clinically oriented profile (e.g., research with patient groups) and researchers with a more fundamental profile (e.g., laboratory research with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
: the Center for Climate Leadership and AI-driven Integrity in Mitigation. CLAIM advances the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate
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, hydrological, socio-economic, and migration data; •predictive modeling and forecasting of migration phenomena based on environmental and climate variables; •development and application of dynamic systems models