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/ Proven teaching proficiency and curriculum development in the following areas: Cyber Security and Cloud Technologies Artificial Intelligence and Data Science Programming (Python, Java, C/C++, Web) 4
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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