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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 mining wastes and scenarios, ii) map the distribution of geochemical patterns according to material type, and iii) identify the mineralogy of the phases hosting contaminant elements. Applicable Legislation
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campaigns focused on the dynamics and distribution of phytoplankton and prokaryotes in the pelagic ecosystems of Northern Portugal. Activity 3 – “Biobanks as tools for marine conservation” Activity 3.2