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Field
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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Geological Evolution of Major Shield Volcanoes on the Moon Using Contemporary Lunar Mission Datasets
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago128m/pix (~250 m/pix at equator) resolution. The Moon Mineralogy Mapper operates in the VNIR region from 540 nm to 3000 nm with 85 contiguous bands with 140 m/pix and 200 m/pix spatial resolution
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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. Position Responsibilities: Develop and implement computational and systems biology approaches for network and hidden driver analysis from spatial omics and single-cell omics data. Collaborate with
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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, signal processing, wireless/optical communications, and communication system engineering Extensive experience in physical layer algorithm design and performance analysis Proven track record of publications