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result, when it comes to nurturing their children’s brains, parents often feel like they are in a maze without a map. The TMW Center has launched a wearable device and an accompanying app that uses machine
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electronic health record (EHR) data. The individual will join a dynamic, interdisciplinary team in the Stanford Department of Otolaryngology–Head & Neck Surgery, with access to the university’s rich ecosystem
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neuroscience research and educational program at UT Dallas that leverages and extends existing University expertise in systems and cognitive neuroscience, neural device development, and machine learning
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Scientist. The Associate Research Scientist will conduct research in the Bioelectronics Systems Lab on a brain-computer interface to work on the development of a new class of brain implant devices. Reporting
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appropriate literature and research publications. May be responsible for the development, modification and improvement of standard operating procedures. Uses computers, computer-interfaced equipment, robotics
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involving aging, interoception, brain-gut interactions, gene therapy/gene editing, functional in-vivo brain circuit mapping and connectomics, neuroengineering (brain-computer interface, neuromodulation
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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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to the degree of urgency. • Coordinates patient examinations that have special circumstances and/or multiple examinations that interface with other Radiology sections. • Facilitates patient
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for Neuroengineering and Brain-Computer Interfaces (https://sites.uab.edu/cnbci/ ), the Center for Engagement in Disability Health and Rehabilitation Science (https://www.uab.edu/cedhars/ ), the UAB Driving Simulator
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We invite applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims