Sequence and RNA structure-based predictive models for the subcellular fate of polyadenylated RNAs in degenerating and regenerating neurons

REWIRE: Reading, Writing, and Interpreting the Rules of IDP Evolution  

Deep Learning-Accelerated Crystallography Pipeline

APTOR – Reliable Analysis Procedure of Tomography-imaged Objects using self-learned Representations

Deep Immune Receptor Modeling (DIRM)

Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)

Deep Fetal Development: AI for Fetal Development Analysis and Impact on Future Health of Mother and Child

Unravelling shared disease mechanisms of ADHD and obesity by large-scale multidimensional data analyses

Tensor Networks for Data Science: Stability, Efficiency and Explainability at Scale

SE3D: Synthetic health data: ethical development and deployment via deep learning approaches