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and UAV/drone-based environmental monitoring, as well as applications of machine learning. Experience in initiating, applying for, and participating in research and development projects, including
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, https://doi.org/10.1364/OPTICA.4.000724 , 2017. Cossel, K. C., Waxman, E. M., Hoenig, E., Hesselius, D., Chaote, C., Coddington, I., and Newbury, N. R.: Ground-to-UAV, laser-based emissions quantification
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the University of Exeter and ISS Aerospace. The KTP will develop a novel software framework to enable safe, autonomous collaboration between UAVs and ground systems for port operations. The successful candidate
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., drought, salinity), and ecosystem productivity using AI-based approaches Integrating multi-modal datasets (remote sensing, UAV/drone imagery, field inventory data, soil and climate parameters, and genomic
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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, School of Social & Environmental Sustainability, please visit https://www.gla.ac.uk/schools/ses/ Job Purpose To deliver exciting and engaging learning and teaching activities, undertake research
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innovation. Your Responsibilities You will contribute to research activities including: Designing MLOps pipelines for autonomous and AI-enabled cyber-physical systems (AI-CPS), including UAVs and other
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The Robotics and Autonomous Systems Thrust invites applications with research focus in the following areas (including but not limited to): Autonomous Robotic Systems UUV, USV, and UAV Systems Field Robotics
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dynamics, materials, and controls; and the aerospace sciences, particularly aerodynamics, aircraft design, hypersonics, propulsion, flight research using UAVs, and computational fluid dynamics
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be defined at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g