Postdoc in Machine Learning and Protein Engineering

This postdoc position focuses on using machine learning to computationally design antibodies, nanobodies, and binding proteins with condition-dependent activity for the PROTÆCT project. The role involves developing deep learning and generative models for binder design, collaborating with wet lab scientists, and contributing to research on controlling protein function in complex biological environments. The position offers the opportunity to take ownership of the project and drive technical innovation within an interdisciplinary team.