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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g
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(e.g., by enhancing learning, improving mental health, teaching green skills, strengthening cybersecurity). The xCIT team is part of the Department of Behavioral and Cognitive Science of the Faculty
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