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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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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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, which will have a weighting of 30% in the final ranking. Chair: PhD Luísa Lopes, PhD Catarina Martins, PhD Maria Esteves If the decision to be taken is unfavorable to the granting of the requested
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for Agriculture, Environment and Development of the University of Évora, under the general coordination of the Administrator of the University of Évora and the scientific guidance of the PhD, Maria Helena Guimarães
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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