New Master's project on – "Classification of stroke types with neural networks and classical machine learning techniques"


We have a new opening for a Master's project on classification of stroke types with neural networks and classical machine learning techniques. The project is aimed towards a passive brain computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to classify stroke types. Further details can be found here.

For a full overview of available BSc/MSc or internship topics, see here.