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The postdoctoral researcher will take part in the PEPR LEGEND project, whose overall objective is the study of new chemistries based on divalent metal ions, such as Mg(II), Ca(II), or Zn(II), for post-lithium
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, tectonics, hydrothermalism) on a range of time scales, with observational and modeling approaches. The postdoctoral researcher will also benefit from a network of national and international collaborations
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: https://gdusson.perso.math.cnrs.fr/offre_postdoc.pdf The main objective of this postdoctoral position is to work on nonlinear model-order reduction, with a particular focus on the development and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and evolution under both
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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far from straightforward. In particular, estimates of transfer rates based on documented cases are both biased and approximate. This project aims to develop explicit phylogenetic models of TE evolution
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and evolution under both