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Field
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth
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negotiation skills Knowledge of spatial standards or geospatial information Analytical and problem-solving abilities Proficiency in spreadsheet and database software Excellent organisational and administrative
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, quantitative, qualitative, and geospatial analysis, and policy research and analysis. Comfort and flexibility with working on several research projects simultaneously and supervising research assistants. Model
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to questions from groups of data science professionals, customers, and the public. Ability to utilize, process, visualize, and analyze various geospatial data as well as can travel, and work from large and small
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including a number of our lower-level introductory courses (both in-person classes and online curriculum) and our upper-level physical geography and geospatial techniques courses as appropriate. Duties also
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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geospatial techniques courses as appropriate. Duties also include assisting with the training, supervision, and evaluation of department teaching assistants and contributing to departmental governance
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science capabilities to form School of Earth and Planetary Sciences: The School provides world-class training for geoscientific and geospatial careers through our industry-recognised teaching programs, and
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine