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provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize
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(MENA). We are seeking a motivated and skilled Researcher to join our team. In this role, you will contribute to the project’s success by conducting remote sensing research, collecting and analysing data
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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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: 19.12.2025 EXPIRES: 28.01.2026 WEBSITE www.igf.edu.pl KEYWORDS: Geophysics, physics, Earth and Environmental Sciences, environmental hydraulics; field research; riverine vegetation; remote sensing; UAV/drones
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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on cutting edge technological areas, such as artificial intelligence for wireless, neuromorphic computing, remote sensing, quantum communications, 6G satellite systems or ultra massive MIMO, among others? CTTC
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science
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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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planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental