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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as postdoc requires academic
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Secure and Networked Systems Division
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releases, and greenhouse gas flux estimation. Current approaches struggle to assimilate data from heterogeneous sensor networks, are too computationally demanding for real-time deployment, and lack reliable
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with the Insigneo institute: Insigneo Institute | The University of Sheffield and the CHIMES2 network of heterogenous chip design and has been fully funded by a philanthropic donation to the university
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. The project will address the following key objectives: Advanced Multi-modal Sensing: Integration of lightweight wearable sensors, including inertial measurement units (IMUs), force sensors, and electromyography
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information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
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education in digitalization and electrification including renewable energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where