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Field
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PhD position within the EMBRACER project, focusing on the role of climate feedbacks, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving
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ecosystems and global environmental change. At EMBRACER we work at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks. Within its 10-year research programme
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PhD: Integrated Assessment Modelling of Climate Feedbacks, Tipping Points Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application
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About the Project Project details: Predicting how biological systems will respond to a warming climate remains one of the most pressing challenges in environmental science. Developing robust
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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Description Understanding and modelling the spatio-temporal variability of radiative and thermal conditions in cities is essential for large-scale solar integration and climate-resilient planning
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
science interlink prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of a European
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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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learning and modelling to reveal plant-soil-microbe interactions. Your findings will inform climate and environmental policy and may contribute to shaping Australia’s carbon credit system. You’ll work with a
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-behavioral biases are most critical in facilitating climate risks to become systemic. This data collection and analysis work will benefit from the computational agent-based and macroeconomic modeling (carried