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Description The Centre d’Études Spatiales de la BIOsphère (CESBIO) is a public research laboratory dedicated to advancing our understanding of continental surface processes and their interactions with climate
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore
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contribute to exciting research on land use and climate in a collaborative and dynamic environment. About us At the Division of Physical Resource Theory , we study how societies can transition towards
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tasks: Develop machine learning and deep learning models for weather and climate (e.g., nowcasting, climate downscaling). Design and follow projects related to AI models for weather and climate Supervise
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
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proteins targeting m6A-containing mRNAs. The project uses Arabidopsis as model for advanced genetic and molecular studies, but investigates the relevant RNA binding proteins in a variety of perennial plants
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and improve model performance in simulations of tropical weather and climate), evaluation of simulation results (e.g., TC, MJO, and precipitation patterns, land-atmospheric interactions), analysis
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invites applications for a postdoctoral position in terrestrial ecosystem dynamics in the laboratory of Professor Paul Moorcroft http://www.oeb.harvard.edu/faculty/moorcroft/ . The successful candidate will