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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
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cognitive neuroscience such as perception, consciousness, thinking, and emotions, so candidates with experience in these domains will be particularly valued. Responsibilities Design and develop experimental
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safety properties of perception systems that encompass learning-based models. Develop methods and tools for automatic/procedural generation of relevant operational conditions Inform and educate
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and analysis of human perception, cognition, decision-making, attention, memory functions, learning, language production and comprehension, action control and more. INCC biologists do outstanding
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into interactive or XR systems (e.g., perception, tracking, adaptive systems, user modeling) (Preferred) Experience collaborating with healthcare professionals or working on healthcare-related technologies EDUCATION
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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models and validate these predictions in follow-up neuroimaging experiments, 2) define and model dimensions related to the perception of animacy when interacting with objects and people using videos
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foundations of economic decision-making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms
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Preferred expertise in one or more areas: video-language models, egocentric perception, embodied AI Documents to Submit: Resume and cover letter About Khoury College: We invite you to join a fast-moving