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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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of the Administrator of the University of Évora and the scientific guidance of the PhD Afonso Cavaco, who must draw up an opinion on the final activity report of the scholarship (Annex II), according to the draft in
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