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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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Teaching Specialist-III (RTS-III) position is immediately available to conduct research in the area of mycobacterial host-pathogen interactions and COVID-19 pathogenesis studies using animal models under
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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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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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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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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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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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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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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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