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, thermal, depth, LiDAR, acoustic, sonar and radar sensor data, with established research lines in 3D reconstruction, and Edge AI for resource-constrained deployments. Where to apply Website https
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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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: Experience with physiological or movement data, such as electrocardiography or wearable sensor data. What else do we offer you We offer a temporary full-time position of 38 hours a week for a term of 4 years
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Mapping the Mains: AI-assisted Monitoring of Drinking Water Networks Drinking water networks are critical
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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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 of equipment – which
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lives. Technology such as 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
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-taught Doctoral Education courses and write scientific articles and a dissertation. For more details, please check https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . TU Delft (Delft University
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-efficient digital AI/ML accelerator for real-time transmitter error correction in high-speed RF systems. Co-design and validate on real silicon. Job description Wireless networks are becoming increasingly
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications