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offer an exciting postdoctoral position, in collaboration with Demcon, focusing on off-road SLAM using lidar, camera, and IMU. Do you have a deep understanding of semantic segmentation, SLAM, sensor
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian ERI@N is establishing capabilities and physical test setups to support
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this impacts forest restoration efforts. You will form an integral part of the Selva lab team led Dr Tommaso Jucker (https://www.selvalab.org ), and will work closely with two postdoctoral researchers and three
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talented and versatile PhD student to develop digital biomarkers from continuous, real-world sensor data. Progressive supranuclear palsy (PSP) is a form of atypical parkinsonism characterized by its highly
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Technologies Initiative (https://wirelesspower.ieee.org/ ). This project is characterized by a strong multidisciplinarity, with applications in the field of IoT. You will work on electronics, wireless
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
electrochemical characterization of enzymatic sensors. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria - Italian or foreign candidates who possess, by
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optimization procedures, and bone-quality assessments. Analyze multimodal datasets including radiographs, CT imaging, gait analysis, prosthetic sensor data, and bone-density measurements. Build robust data
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levels. The targeted application will concern multi-sensors based systems for autonomous vehicles embedding AI perception or decision modules. The experiments will rely on embedded platforms available
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-based, wireless communications and autonomy technologies. Collect and archive machine performance data including live video streams, CANBus data to characterize machine performance, times series sensor
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such as protecting embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and