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Field
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high throughput PDU equipped with VOC sensors, an algorithm, and a database. The PDU will enable rapid (Ultimately, the PDU is intended to be a cost-effective, user-friendly, adaptable, and efficient
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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(LiDAR, multimodal cameras, GNSS, IMU, etc.) and external sensors (CCTV, UWB, IoT); development of data acquisition, filtering, and preprocessing pipelines; implementation of sensor fusion algorithms
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with other European Union partners will contribute to the advancement
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of the key components of the project is the apply machine learning algorithms on video data to extract human behavioural patterns (from egocentric and exocentric views). For that purpose, we are looking
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-constrained drone platforms. Design custom PCBs for lightweight, low-power drone platforms, including sensor interfaces, power regulation, embedded processors, and communication modules. Develop power-efficient
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise