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modifications (PTMs) and will use advanced in vitro and animal models for translational studies to develop knowledge based nutritional intervention strategies for hub molecules. The hub molecules of life
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electrical and structural mechanisms driving arrhythmia in individual patients. This project will develop a patient-specific cardiovascular digital twin to support the planning and optimisation of AF ablation
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Fennoscandia—including infrastructure connected to resource extraction, military activities, and regional development—interacts with older roads, seasonal pathways, and Indigenous and local mobility systems
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measurements with patient-specific digital twin technology. The doctoral candidate will develop mathematical models that link clinically acquired echocardiographic data to the underlying physiological and
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that may not fully reflect the complex flow conditions present in individual patients. This project aims to improve the assessment of aortic valve disease through the development of patient-specific
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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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Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer
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Area: Wireless Communications Group: Mobile Systems - Av Work Objectives: Designing, implementing and experimentally evaluating a lightweight credential gateway that allows constrained IoT devices to use
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Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering
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neurodegenerative disease. This ambitious project focuses on the development and validation of innovative preclinical models, including primary neuronal cultures, induced pluripotent stem cell (iPSC)-derived neurons