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Field
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these short-lived events are notoriously hard to reconstruct and to model, so our understanding of their behaviour during warmer climates is limited. To learn from past warmer climates and better understand
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place to study and work. Temporary researcher position There is a vacancy for a position as researcher in ice dynamics and climate modelling at the Department of Earth Science. The position is for a
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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-climate interactions. For this purpose, it has developed its own dedicated global model SOCOL, which can interactively treat all processes and major feedbacks related to the ozone layer and atmospheric
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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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. Incorporating information about plasticity can aid genomic prediction modeling of tree growth and health under future climates. This project seeks to address generalizable principles underlying the genetic basis
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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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-chemistry data input into a global chemistry-climate model. Research Objectives: Measure the processing of HCl on aluminum-containing particles Measure the ability of these particles to freeze H2SO4/HNO3/H2O
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observations of ice initiation from solid aerosol material, informing the design of microphysical schemes of models of clouds and climate at Lund. A new climate model is being developed to represent cloud