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. T. (2022). Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning. Radiology, 306(3), e220522. [Winter2024] Winter, L., Periquito, J., Kolbitsch, C
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intuitive physics. The lab uses a mixed-methods approach that includes behavioral (e.g., eye-tracking), neuroimaging (e.g., fMRI), and computational (e.g., machine learning) methods with adults, infants, and
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insights that complement existing approaches. Some basic questions (among others) that this project will try to explore are: How can machine learning and deep learning models be tailored to various data
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career level) in some of the fields related to computational neuroscience - mathematical, statistical skills, experience with data analysis, machine learning, computer programming. Be fluent in English. We