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Description Sea ice/ocean/atmosphere modeling and prediction, taking advantage of AI/ML approaches. The Scale-Aware Sea Ice Project (SASIP, 2021-2027, Lead PI: Pierre Rampal) is a research project supported by
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seismological methods that use seismic ambient noise for monitoring and early warning of natural hazards and water resources. With fine temporal resolution (daily or even hourly), these methods provide indicators
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Bossy and Dorian Bouchet (acoustic detection and imaging). The context: Bubbles in water behave as very good oscillators, with a strong acoustic resonance. Their environment influences the resonance
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designed an experimental setup, where a large tank is rapidly rotating and filled with salty water of variable density (creating a density profile). This setup will be built before the start of the PhD, and
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areas of high latitudes, particularly in the northern hemisphere. It plays a crucial role in the climate system: exchanges of heat, water and carbon with the atmosphere can alter the carbon cycle and the