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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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other distinctions (if any) • Description of current research activity (if applicable) • Consent to the processing of personal data (please see: internal application form needed) • Certificate of student
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of candidate’s publications (if any) • Information about scientific awards, scholarships and other distinctions (if any) • Description of current research activity (if applicable) • Consent to the processing
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