PhD in ML for Crystallography: High-Impact Fellowship

Københavns Universitet offers a PhD fellowship in Machine Learning for Crystallography, commencing September 1, 2026. The role focuses on advancing crystallographic workflows through machine learning algorithms and requires close collaboration with international partners.

Applicants should possess a relevant master’s degree and demonstrate significant interest in crystallography. The successful candidate will engage in independent research and educational activities within a supportive environment.

#J-18808-Ljbffr…