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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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integration of data across computational environments and research partners. Collaborate closely with clinicians, neuroscientists, and molecular biologists to interpret AI-based findings and translate models
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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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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 4 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
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experience in presenting scientific work. Preference for candidates with experience in: -Complex networks and systems modelling and simulation. -Discrete dynamical systems (cellular automata, agent-based, etc
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 14 days ago
on the design and fabrication of microparticulate drug delivery systems loaded with chemotherapeutic agents. These microparticulate systems will undergo comprehensive physicochemical characterization to assess
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to interpret AI-based findings and translate models into clinically actionable tools for early diagnosis, risk prediction, and patient stratification. Develop and execute the scientific components
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be developing and applying advanced AI models and sophisticated multi-agent systems to address pressing challenges in regulatory genomics. Key research areas include: Mechanisms of Common and Rare