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feeds Large Language Model (LLM) for source code analysis in security evaluation H/F 138 / 463 vacancy Détail de l'offre Description du poste Domaine Mathématiques, information scientifique, logiciel
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. Graph-level representation learning with joint-embedding predictive architectures. Transactions on Machine Learning Research, 2025. Durée du contrat (en mois) 6 mois Description de l'offre En
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. --------- ENGLISH VERSION To implement, within the ECMWF’s ecLand model, a module describing the dynamics of plant carbon pools (leaves, stem, roots, reserves), as well as the associated CO
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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; Preferred knowledge of the PyTorch framework; used to work with version control systems (git) and software forges (GitLab); background on explainable AI; Localisation du poste Site Saclay Localisation
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correlation and identifiability issues during model calibration. The method, will consider the following steps: 1.identify operating conditions for which different physical mechanisms are expected to
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external memories by reusing data already calculated previously in the model stages. A large part of the work today focuses on its management. Contract duration (months) 6 Job description The LIAE is
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mostly judged on factorization alone, yet a factorized model is also quantized before it is deployed. Does preparing a model for low rank help or hurt once it is also quantized, and can the combination
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dynamic hand control — that enables a bi-manual dexterous setup to reliably solve complex assembly tasks. Contract duration (months) 6 mois Job description As an intern at the CEA, you will have the
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responsible for qualifying the analytical performance of the developed system (quality control, statistical analysis). You will thus participate in the evolution of the test benches towards an integrated