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collaboration with other CEA teams, notably ; * Parallel and cluster computing environment and efficient LP/MILP algorithms for our large-scale models ; * Data structuring and storage solutions for model input
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to extending GTC to handle multiple energetic particle species, instead of a single one. This development will provide both experience with the code structure and insight into the physics of isolated ITG
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hypothesis testing to assess the validity of a set of candidate thresholds. Therefore, the internship position aims to extend this work by exploring one or multiple of the following directions of improvement
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serve as the foundation for advanced AI/ML-based classification methods, opening the door to robust and efficient object recognition capabilities. Moyens / Méthodes / Logiciels State of the art of
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their reliability for nuclear safety applications. Methods / Means Density Functional Theory (VASP), Classical molecular dynamics (LAMMPS), ML interatomic potentials Applicant Profile We are seeking for a Master’s
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programming based global energy system models (ate different geographical scales), based on the TIMES modelling framework. You bring your knowledge of quantitative methods and economic analysis, in some of the
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. The post-doc is going to contribute in particular to: (a) Enhance model inputs and hydrogen demand flexibility representation - Consolidate input datasets for the various models - Investigate methods
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Study the SOA and approaches on LLMs/VLMs + reasoning, with emphasis on Ontologies and other formal Knowledge Representation approaches. • Research on the ways the interaction can be exploited and provide added value (e.g. conformity). • Propose, produce and integrate into experiments that...
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Domaine Sciences pour l'ingénieur Contrat Stage Intitulé de l'offre Stage - Implementation of a secure link using PHYSEC based on SDR H/F Sujet de stage Physical layer security (PHYSEC) enhances communication confidentiality by leveraging the inherent characteristics of the wireless channel. It...