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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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                -time monitoring.; • Develop numerical models to simulate the dynamic behavior of mooring and anchoring systems under different environmental conditions.; • Analyze and optimize structural performance and 
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                architectures for the energy and power management system on ships Develop control and dispatch strategies for hybrid microgrids, taking into account the specific power and energy requirements of ships Modeling 
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                /pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The overall vision of the ATE is to deploy and demonstrate a set of business models 
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                Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication protocols (Modbus TCP, IEC 61850, etc.). ; Minimum 
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                AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human 
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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 
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                AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human 
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                .; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy 
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                to this type of text; Validate the results of the LLM models developed by the computer science team for information identification, extraction, simplification and summarization tasks in European Portuguese