Learn how to develop machine learning models, how to apply them to toxicological data, and how to interpret the results.
Registration Closed 75€ excl. accommodation including lunch*
*price might be subject to change; Final price upon registration confirmation.
We recommend this place and made reservations for our participants*
*reservation valid until 16. October; afterwards we cannot guarantee a room. Code upon registration.
We know machine learning, we know biology.
Our research careers evolve around creating data for machine learning and employing that data predictively. We will teach you how to do the same.
As one of the fathers of bioinformatics, Burkhard adopted machine learning early to predict various protein properties.
Ivan's research revolves around integrating AI into toxicology in new and innovative ways.
Luisa is investigating the effects and applications of bacterial toxins using data science and molecular biology techniques.
Tanja is using Machine Learning to predict bacterial exotoxins in her research.
Tobias is researching how to make machine learning accessible for protein scientists.
Tobias is researching machine learning approaches to study toxin structure & function evolution.
The target audience for this machine learning school are toxinologists and generally biologists who are curious to learn the basics of machine learning and how to integrate machine learning into their day-to-day work.
We’re currently aiming at around 16 participants.
Of course we try to offer a well rounded program that also contains relaxing activities around the area.
If you have any questions, please do not hesitate to reach out to us.