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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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- The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human Resources Management Service at: sgrh@uc.pt . XVI - In compliance with subparagraph
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of the grant are BSc in scientific areas related to applied chemistry and additional expertise on agro technologies. 3. The scholarship will last 6 months, renewable for the duration of the Project, scheduled
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to apply. Applications must be delivered exclusively in digital format, in portable document format (pdf), except for documents whose delivery is scheduled in other digital formats. Applications must include
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: Motivation letter, in which the candidate must explain his/her motivation to carry out this multidisciplinary work plan, as well as mention if he/she is available to start the scholarship on schedule date
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or withdrawal by the selected candidate, the next candidate on the final classification list will be notified. XV - The full competition process can be consulted by candidates, subject to prior scheduling, by
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- The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human Resources Management Service at: sgrh@uc.pt . XVI - In compliance with subparagraph
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consulted by candidates, subject to prior scheduling, by sending an email to the Human Resources Management Service at: sgrh@uc.pt . XVI - In compliance with subparagraph h) of Article 9 of the Constitution