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Satellite + UAV + ground-sensor integration Applications in precision agriculture, environmental monitoring and field robotics 🎓 What We Offer Supervision by experienced researchers with strong academic
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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sensors into next-generation mobile communications infrastructures (5G+/6G). Place of work: The work will be developed at the premises of Instituto de Telecomunicações at University of Aveiro, under
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exposure to smart cities, IoT/sensor data, SCADA, GIS, or urban water management. EVALUATION CRITERIA The selection will be based on the following criteria: Academic merit and relevance (30%): grade history
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exposure to smart cities, IoT/sensor data, SCADA, GIS, or urban water management. EVALUATION CRITERIA The selection will be based on the following criteria: Academic merit and relevance (30%): grade history