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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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processing. Specific Requirements Knowledge: Computational biology and neuroimaging. Data integration. Advanced data management methods. Advanced data analysis methods. Machine Learning. Professional
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from Ulster’s wide-ranging expertise in Computational Neuroscience, Neurotechnology, and Machine Learning and access to cutting-edge neuroimaging facilities such as NIRS/EEG/MEG and will interact with
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conditions, in large cohort studies as well as randomized controlled trials Perform other duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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clinical research in the field of neurobehavioral development is supported by a M Health Fairview multi-specialty clinic and multiple research service hubs including: Analytics, Informatics, Neuroimaging
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Biomedical Engineering with opportunities in neuromodulation, brain-machine interfaces, and molecular engineering; (2) A thriving Alzheimer’s Disease Research Center with extensive funding and the opportunity