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.) processing and analyzing aerial- and drone-based LiDAR, imagery (e.g., multispectral), and other remotely sensed data collected on ONRC’s research sites 2.) managing data storage and transfers 3.) representing
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), which studies coastal dynamics and sea-level variability across multiple spatial and temporal scales, using laboratory and field experiments, remote sensing, and numerical modelling. The team aims
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shrivel. Handle data modeling, preprocessing, storage, and visualization. Collaborate closely with interdisciplinary project partners (e.g., plant physiology, remote sensing). Contribute to teaching and
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; -Training and knowledge in Remote Sensing (UAV, LiDAR); - Oral and written fluency in English, oral fluency in portuguese - Excellent teamwork and initiative skills; - Availability to do field work and
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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, Ecology, or a closely related field. Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus). Strong proficiency in programming, particularly in
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and remote sensing data including leading disaster event response, coordinating data collection and field campaigns, and supporting data integration efforts across the Center's four Hazard Observatories
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are encouraged to apply. Relevant remote sensing techniques could include but are not limited to InSAR, GNSS, gravity, lidar, imaging spectroscopy, and imaging/stereoimaging. Relevant applications could include
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF
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research, optimization, network programming and routing Optical metrology for surface texturing and imaging Remote sensing and photogrammetry Drone mapping Surveying with total station LiDAR and Optical