Your responsibilitiesThe primary goal of the PhD project will be to use machine learning to facilitate the directed evolution of a target enzyme. Within this framework, the PhD student will screen metalloenzyme variants for activity and stability, create DNA libraries, conduct large-scale data analysis, and develop tools for machine learning. Although no candidate will be expected to have previous experience in all of these fields, an enthusiasm to learn these techniques is essential.
Your profileWe are looking for a highly motivated PhD student with an MS degree in chemistry, biochemistry, or bioinformatics. The candidate should be enthusiastic about learning new techniques and working in an interdisciplinary laboratory. Excellent communication skills in English (oral and written) are essential. Previous experience with Python and machine learning will be an advantage.
What we offerWe offer an exciting opportunity to join a new team conducting dynamic, interdisciplinary, and challenging research. Students will be provided the opportunity to learn high-value techniques for future careers in academia or industry, including biocatalysis, enzyme engineering, data analytics, and machine learning. Additionally, the laboratory is situated centrally in Zurich (Irchel), which offers a diverse and international environment.
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