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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists
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the auspices of the National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
motivated and technically strong Postdoctoral Research Fellow to join the Advanced Drone Systems Research Centre at Macquarie University. In this role, you will lead the development of robust UAV control
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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of drones... (see call) Where to apply Website https://www.unibz.it/it/home/position-calls/positions-for-academic-staff/7995-a… Requirements Additional Information Eligibility criteria Eligible
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: Informatics with a focus on Robotics. Admission requirements: Bachelor's degree in Computer Science. Additional optional skills and qualifications: Experience: with drones; ROS1/ROS2 framework; internships
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for accurate localization and tracking of 5G network User Equipment (UE) in urban environments. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine
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about sustainable agriculture and that have skills and experience in extracting useful knowledge from remote sensing data. About the Role To carry out research involving the integration of drone-based
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from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping techniques, and the development of digital twins