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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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: Master's Level 2 or Ph.D. in Software Engineering Skills, knowledge and experience required: Model-Driven Engineering Product Line Engineering DevOps/MLOps Concepts and Tools Software architecture
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-driven hadronic models. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7178-REGSOM-261/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
developing a complete end-to-end deployment pipeline for AI models, specifically utilizing the Aidge platform and its compilation infrastructure. This infrastructure serves as the software foundation
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experimental characterization, numerical simulation, data-driven approaches and artificial intelligence tools. The successful candidate will contribute to the development of a digital environment capable of
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computational and energy costs of LLMs, this work will focus on smaller, domain-specific models. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8254-SYLDES-026/Default.aspx Requirements
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interactive systems (e.g., machine learning, trustworthy AI, AI-driven decision-making, human-centered AI, data-driven systems, intelligent perception, explainable AI). The recruited faculty member will
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–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging
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anticipation capabilities in a highly dynamic context. · Model-based and data-driven shared human/vehicle control: o Mechanisms to enable driver trust; estimation of trust metrics and human cognitive
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for exploiting datasets (on-line, off-line), intelligent models (data-driven, numerical) and simulation results (digital twins, multiagent systems). he objective of the project is the protection of drinking water