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13 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Information Security and Communication Technology Research Field Technology » Communication technology Technology » Information technology Researcher Profile First Stage...
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview The Internet of Things (IoT
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and training. -Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations. -Contribute to workflows for AI/ML applications, crop
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and IT, to develop techniques for planning the work of Agri robots, scheduling their tasks, deploying IoT devices in fields as well as for collecting, integrating, storing, analysing, building
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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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and EU-funded research projects, and has extensive know-how in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid. IQU is also active in many EU-funded
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Imagine a world where sensors don’t just collect data, they think. With the exponential growth of the Internet of Things (IoT) and edge computing, the demand for ultra-low-power systems that can
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. Reviews by the Gender & IoT project, DSIT, and Ofcom show that everyday consumer technologies, including IoT devices (e.g., smart cameras, speakers, etc), wearables, GPS trackers, and AI-based tools
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), cost-effective Internet of Things (IoT) sensors, and real-time data analytics. The overarching aim is to enhance energy efficiency, extend battery lifespan, and optimize power distribution within SDVs by