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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines
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machine learning and Artificial Intelligence (AI) models for the lab of Dr. Md Tauhidul Islam. The LSRP will design, train, and optimize models to solve complex problems and improve system performance
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing
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Department. Computer Science website: https://cs.stanford.edu / Within the Stanford Artificial Intelligence Lab (SAIL ), the Stanford IRIS (Intelligence through Robotic Interaction at Scale) focuses
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neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines. The goal of the team is to understand
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The Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Data Science (SDS) is a newly formed institute within the Dean of Research. As an independent institute, HAI + SDS' mission is
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Athletics. This role integrates strategy, data analytics, artificial intelligence/ machine learning, and industry benchmarking to ensure the department remains competitive, financially sustainable, and
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The Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Data Science (SDS) is a newly formed institute within the Dean of Research. As an independent institute, HAI
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Athletics. This role integrates strategy, data analytics, artificial intelligence/ machine learning, and industry benchmarking to ensure the department remains competitive, financially sustainable, and