This position offers comprehensive training in modern molecular generative AI, computational peptide design, property prediction, and industrial translation aligned with DDLS goals
Job Summary
This position offers comprehensive training in modern molecular generative AI, computational peptide design, property prediction, and industrial translation aligned with DDLS goals.
The PhD student will be integrated in both Stockholm University and AstraZeneca environments, benefiting from interdisciplinary collaboration and access to industrial datasets and expertise.
AstraZeneca is a global, science-driven biopharmaceutical company dedicated to turning ideas into life-changing medicines and supporting over 3,000 employees in Gothenburg.
Matching Summary
This position offers comprehensive training in modern molecular generative AI, computational peptide design, property prediction, and industrial translation aligned with DDLS goals.
Skills & Requirements
Must-have
Molecular AI for peptide design
Proficiency in Python programming
Deep learning applied to scientific problems
Oral bioavailability modeling
Collaborative research environment
Nice-to-have
Peptide or macrocycle modeling experience
Molecular property prediction skills
Familiarity with protein language models
Experience with molecular simulation and MD
Workflow automation and HPC environments
Key Requirements
Master's degree in relevant scientific or computational field