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, and visualization, time series processing, and machine learning. Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial component - According
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/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission requirements
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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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Engineering Admission requirements: Attendance of bachelor’s degree in computer engineering - eliminatory condition. Arduino programming skills Previous development of database structures in a programming
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6 Nov 2025 Job Information Organisation/Company Instituto Politécnico de Bragança Department Gabinete de Apoio a Projetos Research Field Engineering » Computer engineering Researcher Profile First
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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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14 Nov 2025 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First Stage
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with machine learning. Evaluation of the final solution. V - Initial grant duration: 5 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I