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decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
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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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