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an agent-based computer model of decision-making in social ecological systems, and part of the work be working with stakeholders to refine the tool and test out a range of uses for it. The Research
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particularly interested in candidates who are forging an international reputation in the intersection of Agentic AI, Large Language Models (LLMs), or Foundational Models, and the social sciences. Applicants must
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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educator and role model to dental assistants as well as partner and bridge for dentists and patient care. Experience in sedation procedures and/or ACLS certification is desired, but not required. Prepares
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that directly impact patients’ lives. By advancing proof-of-concept studies from cellular and animal models through human trials, RITMS ensures that promising discoveries are rapidly translated into clinical
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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-preserving models that implement synthetic data; and developing generative AI models for accelerating data sharing using synthetic data, agentic AI synthetic data, differential privacy, and federated learning
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
: Attention Over Finite Memories. 2025. Preprint, hal-05080235v2. https://hal.science/hal-05080235/ - Developping resevoir models based on ReservoirPy and integrate them in the ReservoirPy github as tools
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Commander . Preferred Record of scholarly publications and experience supporting research projects, including data analysis and grant preparation Experience with agent-based models, statistical methods
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infrastructure systems such as power, water, sewer, and communications systems. It introduces existing physics-based modeling of these systems. It then covers the main tools used to simulate, optimize, and analyze