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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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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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Artificial Intelligence, with an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning, with an emphasis on task allocation and route planning methods
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fellowship will be involved in the execution of the following tasks: 1 - Train the metamodels using machine learning techniques; 2 - Validate the machine learning results with experimental results. The aim
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manifestations); - Generation of medical reports from audio/texts produced by veterinarians; - Continuous incorporation of feedback from veterinarians to refine and optimize the development of AI models