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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the knowledge of the state of the art in emerging wireless networks
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. The project seeks to transform existing submarine communication infrastructure into a large-scale sensor network for the detection and monitoring of geophysical phenomena. 4. REQUIRED PROFILE: Admission
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system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms;; - Previous experience in Deep Learning with LiDAR and vision systems
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for recording and analyzing the collected information. In parallel, hardware and firmware in C will be developed, including the communication protocol with sensors and the control of the system’s micro
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, specifically in extracting information from satellite images and sensors (IoT/UAV), and characterising soils and animals to feed the system's models and dashboards.; Tasks:; - Contribute to the state of the art
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Develop control solutions for the IRIS autonomous underwater vehicle to collect lost networks Study and
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adapted to other types and configurations of offshore wind farms. The specific objectives include:; •Designing and implementing an SHM architecture that integrates distributed sensors (on the turbine, tower
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project contests in the research line. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Integrating data from optical sensors and multi-omics in systems biology (SB), Genome-scale metabolic model
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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