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Engineering or a related field, with a focus on Robotic Manipulation Experience setting up and operating ROS-compatible robotic manipulation: systems robotic arms, cameras, F/T sensors, sensor calibration
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the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, along with the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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integration of end-to-end healthcare connectivity solutions, combining devices/sensors, real-time data flows, edge/cloud processing and user-facing applications. • Supporting the configuration and validation
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both