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– Ma0EUvRE – Energy System Modelling for Transition to a net-Zero 2050 for EU via REPowerEU, co-financed by CETP- Clean Energy Transition Partnership, in Portugal financed by FCT – Fundação de Ciência e
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– Energy System Modelling for Transition to a net-Zero 2050 for EU via REPowerEU, co-financed by CETP- Clean Energy Transition Partnership, in Portugal financed by FCT – Fundação de Ciência e Tecnologia
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– Energy System Modelling for Transition to a net-Zero 2050 for EU via REPowerEU, co-financed by CETP- Clean Energy Transition Partnership, in Portugal financed by FCT – Fundação de Ciência e Tecnologia
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-GRASP”, “Simulation-Based Bayesian Inference for Object Perception in Robot Grasping”, financed by the European Union´s Horizon Europe research & innovation programme under the euROBIN project (Grant
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frameworks for full-stack web development (Node.js, .NET Core, Angular) and data pipelines (Apache Kafka, AWS Glue), comparing performance, scalability and security (RBAC, OAuth 2.0). Study cases of digital
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of LIS ́s researchers, in the framework of Project WATERSCAN - Intelligent Optoelectronic System for Monitoring Water Distribution Networks and Detecting Leaks (CENTRO2030-FEDER-01468500), co-financed by
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data analysis tools. Knowledge and training in the development of communication initiatives through social networks. Organisational capacity to support project management. Publications and communications
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of a Research Fellowship within the scope of the project “URBAN-NET: Intelligent Networks for Carbon-Neutral and Sustainable Cities”, with operation code NORTE2030-FEDER-02697300, co-financed by NORTE
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of classes, using Machine Learning (ML) techniques such as Decision Trees, K-Nearest Neighbors (KNN), XGBoost, Support Vector Machines (SVM), or Neural Networks. Explore and implement clustering algorithms
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Learning (CNN, RCNN), Large-Scale Language Models (e.g., transformer-based models such as Llama), and Statistical Network Models. The work also includes the writing of technical reports and scientific