MSCA Postdoctoral Fellowships 2026 - Multimodal Foundation Models for Predictive Host–Pathogen [...]

Organisation / Company: Universidad Politécnica de Madrid, Department CBGP Centro de Biotecnología y Genómica de Plantas UPM-INIA/CSIC

Research Focus

Current breeding and disease-resistance prediction models often treat biological interactions as static linear components. This project aims to disrupt this paradigm by leveraging Foundation Models and Deep Learning to capture non-linear dynamics in agricultural systems. The selected fellow will work at the interface of Computational Biology and AI, focusing on:

• Sequence-Based Foundation Models: Utilizing self-supervised learning to extract transferable features from raw genomic data (DNA/RNA) without relying on pre-defined marker sets.
• High-Dimensional Phenomics: Deploying Computer Vision architectures (e.g., Vision Transformers) to quantify complex disease phenotypes from high-throughput imaging.
• Multimodal Integration: Designing fusion architectures that integrate heterogeneous ...