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), master, within the project REACT-NET - Resilient Emergency Adaptive Communications and Trustworthy Network Management, profile: “Gestão e configuração automática de redes de comunicação com grandes modelos
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), master, within the project REACT-NET - Resilient Emergency Adaptive Communications and Trustworthy Network Management, profile: “Comunicações resilientes para emergência com veículos aéreos não tripulados
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research outputs. A clear research vision aligned with one or more of CCMAR’s thematic areas. Strong communication, networking, and collaborative skills. Eligibility Applicants must comply with
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programming (MATLAB and Python); knowledge of data processing; experience in mathematical modelling, especially dynamic systems and neural networks; previous experience with burned area algorithms. Contracting
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implementation of solutions for the management, registration and verification of academic credentials (and micro-credentials) in decentralized networks. This project includes as a cross-cutting objective the
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investigate and develop IoT network security mechanisms connected to the cloud in residential environments and intrusion detection methods in the context of embedded systems and IoT devices. The work will
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critical challenges, particularly the substantial rise in energy consumption associated with dense networks and diverse application requirements. To address these concerns, 3GPP Release 17 has introduced new
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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this gender political gap. The project aims to combine survey data on political opinions and spatial data on mobile network access across Europe, employing cutting-edge empirical methods to establish causality
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: Development and calibration of numerical models of pilot networks to explore the use of multiple monitored parameters (pressure, flow rate, basic and advanced water quality parameters) for anomaly detection