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team also has experience with multi-sensor systems including lidar, inertial sensing within the context of real-time SLAM and autonomous exploration. The researcher will have the opportunity to establish
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML
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conservation outputs. The successful candidate will develop AUV survey plans, including transect design, sensor configuration, and sampling parameters, to ensure high-quality data capture. They will manage and
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university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array of undergraduate and
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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and united, it participates in the European University of Post-Industrial Cities, UNIC initiative and has one of the most extensive collaborative networks in the world. ULiège offers attractive career
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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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 PhD students
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University of California Agriculture and Natural Resources | Davis, California | United States | 13 days ago
farming practices. The Specialist will examine the potential of agricultural technologies, such as drones, spectral analysis, and sensors, to help California growers ensure the safety of their harvest while