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atomique d'actinides par modèles machine learning - H/F Ref. : 2026-41559-S2163 Postdoc Essonne (91) Bruyères-le-Châtel Correspondant périmètre Déchets sans filières H/F Ref. : 2026-40803 Fixed-term
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uncertainty quantification and machine-learning principles. Knowledge of fidelity-first computational fluid dynamics (CFD) modeling. Experience with processing measurement data. . Job Application Submission
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Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically redirected to an external site after 5 seconds
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. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences. · Other related duties as assigned. EDUCATION
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, including competitive water adsorption (humidity) effects establishing AI-supported algorithms for material selection in close feedback loops with experimentalists machine learning for process implementation