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in a field related to the offered position Prior experience with EEG is a plus Some knowledge of the Danish language is a plus Candidates who are about to obtain these qualifications are also
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Modulation & Control Lab at BHI, we seek a Postdoctoral Associate to work with digital (smartphone-based) and brain imaging (EEG or fMRI) biomarkers for cognitive aging, Alzheimer’s disease or other dementias
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). This research, undertaken at the Discipline of Physiology of the Trinity Biomedical Sciences Institute, involves using electroencephalography (EEG) to measure changes in cognitive and motor network function in
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, neurophysiological (EEG), and physiological (e.g., ECG) signals, within and between people, in order to understand mechanisms of self-other integration and segregation; and disseminating the results at international
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laboratory research experience in a neuroscience laboratory • Experience working with EEG datasets • Desire to succeed in a fast-paced research environment with multiple duties • Experience working with
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supporting evidence of completion date. Preferred Qualifications: Neuroimaging expertise, ideally with: EEG, fNIRS (including data collection and analysis) Young children Behavioral testing (including eye
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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survival surgery, two-photon microscopy and analysis, patch-clamp, intracranial EEG monitoring and analysis, optogenetic techniques, mouse models of epilepsy. Coding skills (Python). Baylor College
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. The Postdoctoral Scholar will work on ongoing NIH funded projects broadly centered around stress reactivity, addiction and substance use disorders, trauma, suicide, electromyography (EMG), electroencephalogram (EEG
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of pregnancy, labour and the early neonatal period that are commonly associated these injuries. Early EEG and biomarkers gathered in studies will be assessed for their ability to predict severity of CP motor