105 machine-learning "https:" "https:" "CMU Portugal Program FCT" PhD positions at CNRS
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this goal, it is paramount to characterize the added value of using machine learning in estimating and decoding quantum errors occurring in coded quantum systems. Research program: The PhD student will first
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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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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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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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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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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advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
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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
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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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, Aubervilliers (Condorcet Campus), Bâtiment Recherche Nord. The contract is not renewable for this position. Contact : Monica Brinzei, DR1-IRHT : monica.brinzei@irht.cnrs.fr Where to apply Website https