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Geophysics Apply for this job See advertisement About the position A 20 % position as Adjunct Professor is available at the Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems
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Language Processing (NLP). We seek outstanding candidates with expertise in developing and applying AI techniques that integrate and reason over multiple modalities—including text, speech, vision, and sensor data
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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will work in a group with other students and take on specific tasks. The aim is to analyse the robot's capabilities and to implement algorithms that enable the robot to be used sensibly in applications
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will work in a group with other students and take on specific tasks. The aim is to analyse the robot's capabilities and to implement algorithms that enable the robot to be used sensibly in applications
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of AI-enabled progress, through integration of domain expertise, physics-based models, simulation-driven learning, and sensor data processing. The new tenure track position at TU Wien targets
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Systems program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge
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Description Do you have significant experience with algorithms for interval path planning, and are you motivated to bring these closer to the railway industry? Then this position is for you! Job description The
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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sensors and DAS, acquired at sampling rates ranging from 1,000 to 200,000 samples per second, is capable of observing magnitude negative five induced earthquakes at distances from meters to 100’s of meters