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essential. SUPERVISION: The incumbent will be directly supervised by Charlotte County’s Florida Sea Grant Extension Agent, with overall program oversight by the County Extension Director. This position does
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, physical limitations). Their activities will include: - Design and analysis of mathematical models of multi-agent systems, with an emphasis on stability, controllability, and synchronization. - Obtaining
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learning that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of learning algorithms; possibly the study of their theoretical
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agent-based models (ABM) to simulate how people move, make activity choices, and interact with their environment; ultimately helping to design equitable, active, and healthy urban spaces. Besides that
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thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio-technical systems. You will design and investigate methods
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days ago
of an OpenAI Gymnasium–compatible environment layer (a “Gym-Agro” or ”Gym-PBM abstraction). This layer will expose a standardized API (reset, step, observe, reward, done) to RL agents, manage simulation calls
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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studies using a laboratory pilot plant consisting of a perfectly stirred reactor, - Analysis by gas chromatography coupled with a mass spectrometer - simulations of combustion experiments - writing articles
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pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days