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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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on developing machine learning frameworks that enable robots to navigate complex human environments, and build longitudinal relationships which require personalization. Core Responsibilities: Modeling of social
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the engineering and fundamental research underlying a multi-chamber cancer-detection device from concept through integrated laboratory. The role emphasizes device innovation, robust design, and manufacturable
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to benchmark its performance. This position offers a unique opportunity to work on a multi-disciplinary project with a team of scientists and engineers and experts in commercialization and translational research
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critically on viable commercial mechanisms that support healthy development for model providers and downstream users. Core Responsibilities:Empty heading Analyze LLM-based commercial models by collecting
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critically on viable commercial mechanisms that support healthy development for model providers and downstream users. Core Responsibilities: Analyze LLM-based commercial models by collecting, simulating, and