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Field
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measurements using advanced instruments mounted on drones and on a helikite. Two field campaigns will take place at Utö Atmospheric and Marine Research Station in the Baltic Sea area. The measurements will
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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involving geological risk management, conducting field surveys in remote areas, advanced use of ArcGIS geoprocessing tools, drone image acquisition and processing, and organizing technical events or meetings
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drone operation and simulation software integration, is a plus. SALARY: Up to $5,000.00 Monthly ($60,000.00 Annual, Approximately) NOTE: This is a grant funded position with continued employment
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry
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robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within this postdoctoral position. The appointed
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of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
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experience working with drone, SkySat, PlanetLab, and/or Sentinel 2 data, using R and Python, and doing disease ecology modeling will be assessed favorably. Required Application Materials: 1. Curriculum vitae