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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
EDUCATION AND EXPERIENCE: - Experience with system dynamics, agent-based modeling, social simulation, computational social science, model validation/testing, causal or feedback modeling, or policy modeling
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. These differences introduce distribution shifts that can degrade model performance and reliability over time, particularly in “one-to-many” supervision settings where a single human operator oversees multiple agents
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operations. The successful candidate will participate in animal-based studies, cell line culture, patient-derived organoid workflows, tissue collection and processing, laboratory maintenance, sample tracking
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, NERSC) to align interfaces and standards, and establish ORNL/OLCF as a foundational compute and data hub within the emerging national science infrastructure. Agentic Workflow Design and Autonomous Control
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conditions. The research will investigate agentic AI and reinforcement learning-based control for adaptive spectrum usage, power control, scheduling, and multi-RAT coordination (integrating 5G/6G Terrestrial
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all tasks within work package "WP1. ASP Foundations and Extensions", which is the project's main fundamental part and encompasses activities T1.1 (Equilibrium Logic), T1.2 (Temporal ASP) and T1.3 (Agent
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(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING
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requires determination of applicable codes based upon type of occupancy and building age. Manage schedule and duties associated with the Deputy Fire Marshal. Schedule, coordinate, supervise, and direct all
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or noisy observations. Addressing these uncertainties typically relies on ensemble-based simulations using computationally expensive high-fidelity models. This PhD project addresses this challenge by
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and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling