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for the attribution of 2 grant of Master within the scope of the project of R&D “Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, FCT 2024.07481.IACDC/2024, supported by
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this type of scholarship; Preferential Requirements: Clear demonstration of skills in modeling and simulating solids, fluids, and their interaction and interface; clear demonstration of skills in finite
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“Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, reference FCT 2024.07481.IACDC/2024, financed by measure RE-C05-i08. M04 – "Support the launch of an R&D project programme aimed
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Management; Knowledge of data organization and management; Knowledge of database creation; Good knowledge of quantitative forecasting models and financial markets. Preferred Factors: Experience in creating
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data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
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from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in data exploration and processing; Knowledge of Generative AI models n mainly LLM's
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make use of knowledge of data modelling, data storage and data processing. Support in the data modelling component, for the definition of the Domain Reference Model, is required. Work collaboratively and