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developing learning-based model predictive control algorithms in simulation. Experience in multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction
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clinically characterized samples, and use the results to test and refine the lab’s theory of agency. The work will generate first-author papers and an agent-based research line the candidate can carry
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empirical findings into an agent-based model and cost-effectiveness analysis and to translate study findings into a decision-support toolkit for public health agencies and policymakers. The fellow is
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