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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in
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, genetics, image processing, and deep learning (AI) of human and animal OCTs. The successful candidate will perform translational studies using image analysis of diabetic human and animal OCTs, perform
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Neurology. Our group is focused on cortical dynamics and machine learning from human neurophysiology samples collected via EEG in several federally funded studies. Because we can correlate data from
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be also encouraged to explore other research opportunities or collaborations within the group. Tools and techniques to be developed include but are not limited to MR pulse sequences, machine learning
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including Neuropsychology, Chronic Health, and Behavioral Psychology. A one-year postdoctoral fellowship position is available for candidates who will have obtained their PhD in clinical, counseling
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, large-scale discrete-event simulations, machine learning, mathematical modeling, and network science. Desirable Qualifications: A background in epidemiology or healthcare research. Online Application
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academic research and clinical applications. Currently, we are offering a fellowship focused on psychological assessment of learning and attention disorders as well as neuropsychological testing with youth