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within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR modelling
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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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scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows you to shape the future of biological research while
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
/01 11:59PM (posted 2025/08/21, listed until 2025/12/01) Position Description: Apply Position Description MIT Multi-agent AI Postdoctoral Fellowship Program Recent years have seen a surge of interest
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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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with clinicians, neuroscientists, and molecular biologists to interpret AI-based findings and translate models into clinically actionable tools for early diagnosis, risk prediction, and patient
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 20 hours ago
settings. We are seeking a dynamic and interdisciplinary scholar with expertise in science education and/or the learning sciences, and demonstrated experience with NetLogo or similar agent-based modeling
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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processes and their associated mass transfer phenomena without and with chemical reaction. Demonstrated understanding of and/or practical or modelling experience with liquid absorbent-based CO2-capture