Last update: Mgr. Marian Novotný, Ph.D. (16.02.2024)
Project DeepLife intends to be a comprehensive and application-oriented teaching project which will introduce students to the most advanced algorithms and applications of deep learning in life sciences. For this, we will build on existing complementarities between the bioinformatics master programs of the five universities identified during the first educational project, and offer a new and comprehensive course covering the different aspects of Deep learning approaches in life sciences. We will set a strong focus on complementary application areas in life sciences and practical implementations. We will cover three very active application areas of deep learning in life sciences: (1) structural bioinformatics, (2) application of deep-learning to single-cell genomics, (3) biomedical image analysis. This course will be held in hybrid mode, with online lectures by teachers from different institutions and on-site practical exercises in the form of Q&A sessions in smaller groups. Our objective is to bring together the strong and complementary expertise in structural bioinformatics (Paris, Prag, Warsaw), single-cell genomics (Heidelberg, Warsaw) and image analysis (Heidelberg, Prag, Milano).
The course is composed of online lectures and online exercises in the form of notebooks that are students supposed to succesfully complete.
The course will be extended for best 15 students with an on-site 2-day hackathon during which mixed teams will work on small implementation projects around selected topics of deep-learning.
