77 machine-learning-"https:" "https:" "https:" "https:" "U.S" PhD positions at CNRS in France
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https://emploi.cnrs.fr/Candidat/Offre/UAR3278-NATTOL-034/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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will build on recent advances in machine learning for dynamical systems to extract meaningful representations of complex flame dynamics, construct prognostic ROMs, and perform data assimilation
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point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5217-MAGRIC-001/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
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) - Organisation - Autonomy - Interdisciplinary skills Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7252-PIEBON-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD
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, autonomy, rigor and taste for teamwork Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3407-ARMMIC-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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forces on each mode in order to reduce (i.e., cool) their individual vibrations. The student will be closely guided by the advisor and will acquire both theoretical and experimental skills on optomechanics