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Field
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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international collaboration networks. This position provides the opportunity to contribute directly to the energy transition and to the development of sustainable, scalable heating solutions for the built
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-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and analyzing urban data (traffic, energy consumption, environment). Strong skills in integrating IoT
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maintenance test facility at SDU. This includes dynamical simulation of breeding blanket extraction with a robot, design and implementation of real-time control system, selection of sensors and actuators
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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composite propellers. Competence in the measurement and analysis of guided waves. Experience with embedded piezoelectric sensors in composites. Strong mathematical background and experience with numerical
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits