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Field
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(MINA) at Norwegian University of Life Sciences (NMBU) has a vacant three-year PhD–position related to use of AI for mapping of forest ecosystems. Increased digitalization and the use of new sensors and
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the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
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a big plus: Relevant publications (and/or M.Sc. thesis) on the above-mentioned research topics Programming Microcontrollers and Interfacing Sensors Machine Learning Algorithms and Deep Neural Networks
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throughput. This architecture will be optimized for lightweight, adaptive learning tasks commonly encountered in edge scenarios, such as sensor fusion. REACT offers a uniquely structured training environment
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the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
sensing the backscattered ultrasound signals. You will join a laboratory with expertise in photonics, piezoelectric materials and device fabrication methods for sensors and actuators, working under
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of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime You will
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal