Explainable AI Feature Scientist: Stress & Emotion (Intern)

A leading educational institution in Lyon is offering an internship focused on developing an explainable feature selection framework for stress and emotion monitoring systems. The candidate will work with the WESAD dataset, optimizing it for real-time applications while integrating explainable AI techniques to ensure interpretability. This role is ideal for students or recent graduates with a background in Computer Science and a passion for applied research in mental health technology.

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