The main emphasis is to give you a short and pedestrian introduction to the whys and hows we can use (with several examples) machine learning methods in nuclear physics. And why this could (or should) be of interest. And how this can be linked with standard many-body theories. And perhaps some quantum computing.
I will also try to highlight educational initiatives and strategies where the ECT* has played and will/can play an important role in educating the next generation of nuclear scientists