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on a project investigating the neural mechanisms underlying the relationship of attention and oculomotor exploration in a naturalistic task using M/EEG. Specifically, the project involves rapid frequency
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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with state-of-the-art neuroimaging and brain monitoring technologies. These include a Siemens Prisma 3T MRI scanner, a Siemens 0T mock scanner, an Elekta Triux MEG system, as well as EEG, fNIRS, TMS and
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, therapeutic intervention and psychopharmacology, and child/family studies. Facilities include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), neurostimulation (TMS/tDCS
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science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
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, therapeutic intervention and psychopharmacology, and child/family studies. Facilities include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), neurostimulation (TMS/tDCS
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), electroencephalography (EEG), neurostimulation (TMS/tDCS), psychophysiology, pain research including quantitative sensory testing (QST), eye-tracking, virtual reality and multi-sensory processing. We are an ambitious and
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analysis of mouse brains Comfortable with in vivo mouse handling and genotyping Experience in EEG, behavior, or transcriptomic analyses is a plus Why Join Us: Unique opportunity to study a gene with no known
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and administrative work. Specific job activities may include: • Conduct literature review on topics related to the project; • Conduct experiments using EEG, eye tracker, video cameras, learning
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electroencephalography (EEG) and eye-tracking. Finally, the project team is developing an innovative Course-based Undergraduate Research Experience, where students investigate their own attentional states and associated