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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Human Neuroscience Lab ( https://wpd.ugr.es/~humneuro
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 13 days ago
that support large-scale neuroimaging research. This position plays a critical role in enabling cutting-edge scientific discovery through the design and implementation of scalable, reproducible data
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Biomedical Sciences, Bioinformatics, Human/Statistical Genetics, Neuroimaging, Neurosciences, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets
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. in Biomedical Sciences, Bioinformatics, Human/Statistical Genetics, Neuroimaging, Neurosciences, or a related field (with an emphasis on data science or statistical analyses of human subjects datasets
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electrical stimulation (iES) and electrophysiological recordings (iEEG and single-unit recordings), with noninvasive brain stimulation and whole-brain neuroimaging to uncover causal brain circuit mechanisms
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Neuroimaging within the School of Health Sciences. In this hands-on role, you will support the day-to-day operation of the MEG laboratory and be responsible for supporting the MEG laboratory infrastructure
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neuroimaging findings systematically across experiments, disorders, and species. The Group You will join Dr Andrea Luppi's research group, which charts how cognitive disorders, pharmacological
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, neural oscillations and computational modelling, and by Mélanie Planton, Professor of neuropsychology, expert in cognitive disorders following brain lesions, remediation and neuroimaging. The candidate
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novel methods for analysis and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct
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novel methods for analysis and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct