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of the mines must also be considered. Recent advances in the geotechnical and geomechanical fields have led to a significant increase in the usage of machine learning (ML), thanks to its computational power and
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by
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research projects within LIA’s CORNET team, focusing on: Network and cloud systems, Virtualized network systems, Cloud and edge computing technologies and machine learning related topics
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-France 75 005, France [map ] Subject Areas: Statistical Physics Machine Learning Appl Deadline: 2026/01/15 11:59PM (posted 2025/11/04, listed until 2026/05/04) Position Description: Apply Position
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and output databases; deployment of methods and tools for data acquisition and visualization; * AI/Machine Learning/Deep learning techniques for model input and output data analysis and production, in
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Inria, the French national research institute for the digital sciences | Lyon, Rhone Alpes | France | 8 days ago
Offer Description The postdoc will take place within the framework of the défi Inria LLM4Code, which objectives are to apply machine learning techniques to the automatic generation of code, and in
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 21 days ago
the Statify team, located in Inria Montbonnot. He or she will have access to a team of experts in high-performance computing and machine learning that will help him or her to kickstart the project under
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. The approach used relies on developing machine-learning interatomic potentials based on ab initio calculations, which are then employed to perform large-scale classical molecular dynamics simulations. However
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use, utilizing innovative binary file analysis and deep learning to improve the security of computer systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5104-MYRLAU-003
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training, as well as on machine learning or generative AI models. Technology watch on AI recommendation models and optimization of recommendation algorithms. Implementation of the recommendation engine