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at undergraduate and master’s levels, primarily in data science, machine learning, and AI programming in Python, including lecturing, supervision of student projects, course development and examination. Scholarly
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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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