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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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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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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
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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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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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new findings about the labor market. 2. Advanced computational work involving coding heterogeneous agent models and conducting estimation of key model parameters to match themoments in the data and test