The overarching goal is to build AI methods that design cyclic peptides which co-optimize binding affinity, permeability, stability, and synthetic feasibility
Job Summary
The overarching goal is to build AI methods that design cyclic peptides which co-optimize binding affinity, permeability, stability, and synthetic feasibility.
This project provides comprehensive training in modern molecular generative AI, computational peptide design, property prediction, and industrial translation, aligned with DDLS goals.
The PhD student’s time will be split between Stockholm University and AstraZeneca, Gothenburg, and the student will be integrated in both environments.
Matching Summary
The overarching goal is to build AI methods that design cyclic peptides which co-optimize binding affinity, permeability, stability, and synthetic feasibility.