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- Prediction of BCI performance, BCI deficiency and countermeasures - Teaching the BCI skill: feedback and human training approaches - Brain/neuronal computer games interfaces and interaction - Using BCI for
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neurotechnology, neural decoding and closed-loop brain-computer interfaces, and/or AI for health, medicine, and science at the intersection of neural engineering and data science. This position is part of BU's
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
DSS to build a collaborative, interdisciplinary hub in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop neuromodulation, and the
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is the intention of the subject. The advancement in brain decoding models benefits the development of brain-machine interfaces, Neuroprosthetics and the understanding of neurological disorders such as
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and artificial intelligence/machine learning may be applied are encouraged to apply. If you are interested in research in brain-machine interfaces, and are unsure about whether you have the right
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Number PRN46243B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title Speculative Design Researcher, Brain-Computer Interfaces Career Progression Track P00 Track Level P4
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 4 hours ago
Department of Neurosurgery, and DSS to build a collaborative, interdisciplinary hub in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 1 month ago
Department of Neurosurgery, and DSS to build a collaborative, interdisciplinary hub in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop
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positions across all ranks. Our ideal candidates are those whose research interests align with, but are not limited to: 1. Key technologies and devices in brain-computer interfaces: Including novel brain
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candidates whose research will complement other areas represented in the convergent search, including human neuroimaging, computational neuroscience, brain-computer interfaces, and rehabilitation