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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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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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in hypervision, decision support systems, and AI agents applied to power grid operations (based on LF Energy's GridFM and OperatorFabric projects).; - Scenario modeling using real and synthetic data
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protocols for data collection with motion capture systems and curation of the resulting data - Design generative models for the creation of human movement datasets for training AI models - Evaluate
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interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
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four years, in the cases of students enrolled in a PhD. Scientific advisor: Alípio Jorge Workplace: INESC TEC, Porto, Portugal Maintenance stipend: 1309.64, according to the table of monthly maintenance
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industrial-grade communication protocols for automation in electric power systems.; Implement the interface between OPAL-RT and HMI/SCADA software: connecting the real-time model or digital twin with the SCADA
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: In this project, we intend to develop a new approach based on physically inspired hybrid machine
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Education Institutions. Preference factors: - Knowledge of fundamental concepts related to energy management and gas networks; - Knowledge of optimization and forecasting models; - Knowledge of Python