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machine learning algorithms, ideally with a focus on time-series data, anomaly detection, or edge computing (TinyML). IoT: You have a strong understanding of IoT communication protocols, data resilience
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laboratory. Where to apply Website https://networks.imdea.org/job/phd-position-in-ai-enhanced-secure-6g-services/ Requirements Research FieldEngineering » Communication engineeringEducation LevelMaster Degree
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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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
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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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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of higher education in engineering or fields related to agriculture Enrolled in a PhD programme (Doctoral studies) Skills / Qualifications Background in smart agriculture, environmental monitoring, IoT
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: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current