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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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to develop a research line related to the assessment of these processes in daily life (e.g., daily diary studies, ecological momentary assessment) and the combination of self-report and sensor-measured data
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and stable?- How do models perform on heterogeneous data (e.g., federated or personalized learning)?- Can smaller, energy-efficient models achieve strong performance on specialized tasks?Position