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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 2 days ago
on three main Workpackages (WPs): • WP1: Characterizing the inflammatory response and airway remodeling in a novel 3D model of Apical-Out Airway Organoids (AOAO) derived from pediatric asthmatic patients
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implemented [3]. Knowledge bases (KBs) play a crucial role in RAG strategies for integrating semantic modeling of the educational context [4, 5]. However, despite their usefulness and effectiveness as personal
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knowledge in Li-ion batteries and machine learning techniques, as well experiment testing. Research experience with battery ageing analysis, machine learning model development. Excellent verbal and written
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, particularly for multi-variable simulations. Knowledge of complex systems modeling applied to urban dynamics. Publications in scientific journals. Personal and Organizational Qualifications: Ability to develop
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analysis. (18 points) Knowledge and prior experience in statistical prediction and optimization models, especially in the development of projection or scenario simulation models. (10 points). Knowledge and
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intelligence, and emerging models for data exchange and valorization, such as data spaces, can redefine value creation mechanisms for the various stakeholders in the analyzed sectors. Specifically, the project
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different model sizes and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 8 days ago
on their operational history. This knowledge is fundamental for the adaptation of future maintenance and replacement policies. It will indeed make it possible to better manage the renewal of the network by making
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims