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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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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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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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brain signal analyses Strong background in experiment programming and statistical analyses Excellent written and oral communication skills in English Specific Requirements Experience in participating in
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Neuroscience, or other relevant areas. Experience with brain signal analysis. Strong background in programming and statistical analysis. Excellent written and oral communication skills in English. Specific
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and