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machine learning techniques. Fluent in Python programming language, and use of libraries such as TensorFlow, PyTorch, sklearn (punctuation: 20) Item 03: Experience in sound, speech processing and NLP
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, Mathematics, Physics, Neuroscience, Psychology, Medicine, or a closely related field. Previous experience with MRI and/or high-density fNIRS/DOT techniques. Strong understanding of signal processing and data
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to work in an interdisciplinary environment that combines physics and optical engineering. Strong written and oral communication skills in English are also desirable. Application process: Interested
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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resolutions to examine the role of thalamocortical interactions in different cognitive processes. MRI and behavioral data collection Preprocess, analyze, and interpret behavioral, functional, and structural MRI