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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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classification is expressed on a different classification scale from the Portuguese one or does not have a classification, for evaluation purposes, must present a document proving the recognition of the foreign
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expressed on a different classification scale from the Portuguese one or does not have a classification, for evaluation purposes, must present a document proving the recognition of the foreign degree
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who are experiencing hardships that potentially limit their opportunities or who may have been disadvantaged due to their personal circumstances. Awards are made in three different tiers, and our review
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a foreign academic degree or diploma whose final classification is expressed on a different classification scale from the Portuguese one or does not have a classification, for evaluation purposes
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main
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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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suppliers and purchase of components; 2. Prototype development and validation in the laboratory; 3. Design of test scenarios using different food formulations provided by project partners; 4. Verification and