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TEC. 2. OBJECTIVES: The project encompasses three main objectives that the fellow must achieve: (1) Develop models for identifying named entities in Portuguese in radiology reports, (2) Develop
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addressed involve defining architectures and interfaces that enable interaction between language models and multiple data technologies, ensuring correct coordination, contextualization, and access control
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, floater, moorings, and cables) and combines them with an advanced robotic hub for inspection and data collection in the marine environment. •Developing data analysis methodologies and numerical modelling
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, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models integration and analysis of data from wearable and clinical monitoring devices and clinical
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that enable interaction between language models and multiple data technologies, ensuring the correct coordination, contextualisation, and control of access to information. Empirical studies will be used
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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four goals:; ● To propose Semantic Information Models for Virtual Choreographies; ● To create a Scalable Cloud-native Data Infrastructure & Hybrid Modelling; ● To develop Visualisation & Interaction
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monitoring. • Develop numerical models to simulate the dynamic behavior of mooring and anchoring systems under different environmental conditions. • Analyze and optimize structural performance and predictive
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the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink. • Knowledge of industrial-grade communication