Cold Electronics and Machine Learning for neutrino experiments

Professor: Jianming Bian

Description: Cryogenic electronics tests and performance study for liquid-argon neutrino detectors (amplification and digitization ASIC chips) and machine learning for particle identification and energy reconstruction in neutrino experiments

Preferred Qualifications: Python