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with low or no potential. Participate in offshore research and data analysis of remote sensing data and geoarchaeological samples from Gulf fieldwork. Visit archival geoarchaeological datasets and
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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technologies; analyze their significance, implications, and applications; and communicate insights effectively. Topics include map use, spatial data analysis, Geographic Information Systems (GIS), remote sensing
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expected to: • Teach one undergraduate and one graduate course annually in remote sensing, phenomics, data analytics, machine learning, or a related area aligned with plant breeding applications. • Mentor
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statistical software; experience with remote sensing, image analysis, crop modelling or other quantitative approaches relevant to crop research; and experience of scientific writing and communication. We place
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surface models from visual line transect surveys conducted by a large number of collaborating institutions along with gridded environmental covariates derived from satellite remote sensing, ocean models
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science, astrobiology, remote sensing, meteorite science, cometary science, planetary geology or related disciplines. Secure and lead nationally and internationally competitive research grants and
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. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related field. Experience with Linux-based high-performance
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. The combined observation of soil processes with plant functional traits and structure of vegetation captured by remote sensing (e.g. LiDAR, multi- and hyper-spectral imagery) in experiments and at contrasting
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remote sensing, AI and other advanced techniques. Candidates in allied disciplines, or who are engaged in cross-disciplinary research, are encouraged. The appointment is expected to begin on July 1, 2027