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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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., LEEDR). Additional efforts involve innovative techniques like convolutional spectroscopy, drone-mounted sensors, and experiments to understand the impact of aerosols on thermal blooming, cloud
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renewable for up to two additional years (3 years total), pursuant to availability of funds. This postdoctoral scholar will work on research topics related to AI-Driven Wildfire Detection Using Drones and
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Environment: Shape the future of advanced air mobility through involvement in innovative drone-related projects that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming
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an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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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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., 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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. The research will investigate methods for safe drone control by integrating a digital twin of the urban operational environment, including landing sites, with the fundamental flying characteristics of each UAV
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Aerospace can be found at: https://www.issaerospace.com/ . Qualification / skills we require: A good degree in Aerospace, Mechanical, Electrical Engineering or a closely related field. Strong technical
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an inspiring, international, and interdisciplinary working environment with state-of-the-art proximal, drone and satellite remote sensing platforms. Tasks: The successful candidate will be responsible