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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Regarding our auditory focus, we seek to understand how the molecular machinery in auditory brainstem synapses enables neuronal computations at some of the fastest speeds in the central nervous system
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computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related
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adults. We use various brain mapping techniques (EEG, MRI, intraoperative electrophysiology) and sensors to record simultaneous brain activity and movement during simple computer and walking tasks or in
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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, training, learning technologies, digital learning, workforce development, or human-computer technology design. Experience with translation, applied, or design-based research. Experience with data analysis
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Apr-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 184151 The NYU Program of
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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verbal communication skills. Department/Program & College Description: The Department of Civil, Construction, and Environmental Engineering is dedicated to creating resilient buildings and bridges, safer
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results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: PhD in Statistics, Biostatistics, Computer Science, Electrical
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs