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The Health and Human Performance Lab explores diverse topics in social and health psychology. Our work lies at the interface between health psychology, social psychology, clinical psychology, and
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other such tasks as assigned to you. Your core responsibilities will include: EEG-based Brain Computer Interface (BCI). Developing BCI decoding algorithms and BCI strategies that integrate ML with human
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning
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University Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the
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, interdisciplinary environment – we work on comparative cognition studies across species, age, and culture. Our broad goal is to understand how complex cognition emerges in human children, which cognitive and neural
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collaboration across the university. In this role you will work on overarching problems in peer review and other human-evaluation systems, such as using theory and experimentation to design the overall structure
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areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to
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, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education
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. This Collaborative Research in Computational Neuroscience (CRCNS) funded position will focus on decision making, linking computational models and mathematical analysis to human and rodent data. The successful
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discoveries and accelerate their translation toward commercialization. We enable the digitalization of manufacturing and enhance the requisite human workforce through integration of advanced cyberinformation