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and foundation models (e.g., Prithvi-EO-2.0) to enhance prediction accuracy, (4) Utilizing large language models to capture cascading ecological effects through sequential autoregressive modeling, and
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, statistical methods, and modeling software. Excellent written and oral communication skills in English. Knowledge of French or Arabic is desirable. Familiarity with the Mediterranean water context is an asset
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language (preferably C++). English (written and spoken) – C2 level Additional Information Selection process daniele.di-pietro@umontpellier.fr , jerome.droniou@umontpellier.fr Work Location(s) Number
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. Proficiency in programming and data analysis. Experience in imaging/microscopy is an asset. Autonomy, rigor, creativity, team spirit, and strong communication skills. Additional Information Selection process
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for data processing, accessible to the scientific community Specificities / Constraints: The researcher will work in a highly interdisciplinary and experimental environment, combining physics, mechanics