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The COMP3D group, developing machine learning methods for drug discovery, is seeking a student assistant for up to 20 hours per week (up to 2 years) to support the team’s teaching and research activities.
The ideal candidate will have solid programming, machine learning, or system administration skills. A background in chemistry is a plus. As a full member of our international and diverse team, you will have ample opportunities to engage with a wide range of IT technologies and scientific topics. We offer flexible working hours and exciting opportunities for collaboration and skill development.
Candidates should not hold a master’s degree before 2026 and send their applications, including a CV and brief motivation letter, directly to Assoc.-Prof. Dr. Johannes Kirchmair » johannes.kirchmair@univie.ac.at