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of material and construction, and to reconstruct historic building processes. While our approach is fully in line with traditional surveying and documentation methods, we strive to draw additional high benefit
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datasets. The collected data includes timelapse point clouds, video imagery, total station and GNSS measurements, as well as climatic data. This data is then processed to derive high temporal and spatial
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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strong experimental background in frequency-locked lasers or optoelectronics. Experience with dual-comb laser spectroscopy is advantageous. Hands-on experience with data acquisition and signal processing
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will advance forest health and mortality monitoring by bridging methods and disciplines. We will integrate early warning signals for the detection of tree health decline, and mortality in trees and