Assist in the preparation and delivery of lectures, tutorials, and practical sessions in data science topics (e.g., Python, statistics, machine learning, natural language processing, cloud computing), Supervise student projects, theses, and coursework, Support ongoing research activities and contribute to publications, grant proposals, or applied projects, Develop teaching materials, code repositories, and datasets for student use, Participate in curriculum design, teaching innovation, and quality assurance processes, Contribute to organizing workshops, hackathons, and student events in the field of AI and data science, Provide administrative support related to study program, teaching and research
