Machine Learning Methods Applied to the Mutagenesis of Ion Channels.

Internship

Type of Project: Theory Project

Location: Bilbao (Leioa)

Supervisor:
Aitor Bergara

a.bergara@ehu.eus

Aritz Leonardo

aritz.leonardo@ehu.eus

https://bcb.eus/

The student will contribute to the development of Machine Learning methods aimed at studying the impact of mutations in ion channels. They will be responsible for implementing and training machine learning models that have been developed within our research group, with the goal of predicting the pathogenicity of mutations within the KCNQ gene family.