Deep Learning for Modeling Ocean–Ice Shelf Interactions (M/F)

Ente: CNRS - National Center for Scientific Research

Scadenza: 2026-05-01

Paese: FR

Descrizione

The overall objective is to improve the integration of polar ice sheets into Earth system models by using neural network emulators at the interface between an Antarctic ice sheet model (Elmer/Ice) and a global ocean model (NEMO). The selected candidate will contribute to the ANR-AIAI project (https...

Settori: Environmental scienceEnvironmental science»Earth scienceEnvironmental science»Global change

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