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Infrastructure? No Offer Description Mission: Optimize graph databases, including research, implementation, experimentation and dissemination tasks. Functions to be developed: Analyze the state of the art in
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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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). This domain adaptation is crucial to ensure the generalization of the model to different types of sensors and environmental conditions. This aspect could notably be addressed by implementing graph-based
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, graph learning, and AI agent implementation and optimisation; and (c) good communication skills in English. Applicants are invited to contact Prof. Kay Chen Tan at telephone number 2766 7271 or via
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days agoopaque tracking techniques (e.g., server-side tracking, identity graphs...). Simultaneously, the development of AI and LLM is having a tremendous impact on the web by modifying its structure to better suit
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update workflows. Design and maintain semantic / causal knowledge graph and provenance mechanisms for validated write-back of rules, parameters, and process knowledge. Conduct experiments, benchmarking
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ICT Services & Applications. Your role The SnT Automation & Robotics Research Group seeks to hire an excellent and motivated PhD candidate within the national research project PCS-GRAPHS (Integrating
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agencies, and limited use of intelligent decision-support systems—by integrating knowledge graphs, explainable AI (XAI), real-time alerting, LLM-based interaction, and cybersecurity/privacy mechanisms. Key
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effects for drug discovery. The successful candidate will play a leading role in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate