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Field
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: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop real-time optimization algorithms • Model multi-vector energy-water-hydrogen systems • Support the development of digital twins • Test the
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underwater environments and their impact on detection and localization; Development and implementation of algorithms for filtering, detection, and temporal segmentation of acoustic signals; Evaluation
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
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the resilience, safety, and security of critical infrastructures as core requirements. Moreover, it will boost the development and validation of novel AI algorithms, by the European AI community, through open
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and decision support for railway operations and maintenance. The successful candidate will work on developing, testing, modelling, and validating methods for DAS-based monitoring of railway
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Study and improvement of developed algorithms - Automation of the model
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, filter banks, transforms, and statistical or entropy coding; Development of compression methods tailored to the spatial, temporal, and spectral characteristics of DAS data; Development of algorithms