-
Job Description Are you driven by the potential of AI in enzyme engineering? Do you want to design novel enzymes from scratch using cutting-edge generative models and validate their function in
-
student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
-
will join a vibrant, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities and qualifications Design and implement inhibitor libraries using generative AI
-
candidate with a background in molecular biology, synthetic biology, yeast genetics, or related fields, ideally combined with: Experience with development of bacterial and/or yeast strain libraries combined