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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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-efficient machine learning and model compression Applications of AI for circular economies Sustainable AI for the smart home Intelligent residential energy aggregation for virtual power plants Trustworthy and
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-efficient machine learning and model compression Applications of AI for circular economies Sustainable AI for the smart home Intelligent residential energy aggregation for virtual power plants Trustworthy and
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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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to support the research of students, staff and faculty conducting related research and leverage a wide range of empirics and modeling techniques to conduct research on real-world technology policy problems
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of the neural pathways involved in long-lasting behavioral recovery in a mouse model of Parkinson’s disease, and slice and in vivo physiological studies of changes in neural activity and synaptic connectivity
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, reinforcement learning, probabilistic modeling, and language-guided autonomy. Core Responsibilities: Conduct independent and collaborative research aligned with the themes above Mentor PhD and MS students Lead